NextJS Final Year Projects - IEEE Domain Overview
NextJS development focuses on building high performance web applications using server side rendering, static generation, and hybrid rendering strategies. IEEE research positions NextJS as a modern programming framework where rendering efficiency, seo performance, and scalability must be evaluated systematically rather than through client side only rendering approaches.
In NextJS Final Year Projects, IEEE aligned studies emphasize evaluation driven web architecture design, rendering pipeline optimization, and scalability validation across diverse traffic workloads. Research implementations prioritize reproducible experimentation, performance profiling, and benchmark based comparison to ensure reliability in real world web environments.
IEEE NextJS Projects - IEEE 2026 Titles
Published on: Nov 2025
Hybrid KNN–LSTM Framework for Electricity Theft Detection in Smart Grids Using SGCC Smart-Meter Data


Improving Network Structure for Efficient Classification Network Based on MobileNetV3

Modeling the Role of the Alpha Rhythm in Attentional Processing during Distractor Suppression


Adaptive Incremental Learning for Robust X-Ray Threat Detection in Dynamic Operational Environments

Toward Practical Wrist BCIs: Multi-Class EEG Classification of Actual and Imagined Movements

User Grouping and Resource Allocation for Uplink of MU-MIMO-OFDMA-Enabled WLAN Using Multi-Agent Reinforcement Learning

Enhancing Bangla Speech Emotion Recognition Through Machine Learning Architectures

Explainable AI for Brain Tumor Classification Using Cross-Gated Multi-Path Attention Fusion and Gate-Consistency Loss

MCRel: A Minimal Cut Set-Based Approach for Reliability Analysis of Sensor-Based IIoT

Prompt Engineering-Based Network Intrusion Detection System

Enhancing Kidney Tumor Segmentation in MRI Using Multi-Modal Medical Images With Transformers
Published on: Nov 2025
TwinGuard: A Supervised Machine Learning Framework for DoS Attack Detection in IoT-Enabled Digital Twins Using Random Forest and Feature Selection Optimization

Centralized Position Embeddings for Vision Transformers


Diagnosis and Protection of Ground Fault in Electrical Systems: A Comprehensive Analysis

Arabic Fake News Detection on X(Twitter) Using Bi-LSTM Algorithm and BERT Embedding

Speckle Noise Reduction in SAR Images Using Rank Residual Constraint Regularization

Enhanced Phishing Detection Approach Using a Layered Model: Domain Squatting and URL Obfuscation Identification and Lexical Feature-Based Classification

HATNet: Hierarchical Attention Transformer With RS-CLIP Patch Tokens for Remote Sensing Image Captioning

Sentiment Analysis of YouTube Educational Videos: Correlation Between Educators’ and Students’ Sentiments

Remote Sensing Image Object Detection Algorithm Based on DETR

A Multimodal Aspect-Level Sentiment Analysis Model Based on Syntactic-Semantic Perception

Forecasting Bitcoin Price With Neural and Statistical Models Across Different Time Granularities

Holistic Cyber Risk Assessment in the Cloud Continuum: A Multi-Layer, Multi-Domain Approach


Legal AI for All: Reducing Perplexity and Boosting Accuracy in Normative Texts With Fine-Tuned LLMs and RAG

A Tile Surface Defect Detection Algorithm Based on Improved YOLO11

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Can We Trust AI With Our Ears? A Cross-Domain Comparative Analysis of Explainability in Audio Intelligence


Enhancing Air Quality Prediction Through Holt–Winters Smoothing and Transformer-BiGRU With Bayesian Optimization

RESRTDETR: Cross-Scale Feature Enhancement Based on Reparameterized Convolution and Channel Modulation

2.5D-UNet-HC: 2.5D-UNet Based on Hybrid Convolution for Prostate Ultrasound Image Segmentation

MMIDNet: A Multilevel Mutual Information Disentanglement Network for Cross-Domain Infrared Small Target Detection

Deep Reinforcement Learning-Driven Dynamic Spectrum Access in Dense Wi-Fi Environments

Explainable Artificial Intelligence for Time Series Using Attention Mechanism: Application to Wind Turbine Fault Detection

Transformer-Based DME Classification Using Retinal OCT Images Without Data Augmentation: An Evaluation of ViT-B16 and ViT-B32 With Optimizer Impact

An Explainable AI Framework Integrating Variational Sparse Autoencoder and Random Forest for EEG-Based Epilepsy Detection

Automatic Explainable Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography

Fine-Grained and Lightweight Quantum-Resistant Access Control System With Efficient Revocation for IoT Cloud

GeoGuard: A Hybrid Deep Learning Intrusion Detection System With Integrated Geo-Intelligence and Contextual Awareness

Multimodal Outlier Optimizer for Textual, Numeric, and Image Data
Published on: Oct 2025
Harnessing Social Media to Measure Traffic Safety Culture: A Theory of Planned Behavior Approach


GA-UNet: Genetic Algorithm-Optimized Lightweight U-Net Architecture for Multi-Sequence Brain Tumor MRI Segmentation


Noise-Augmented Transferability: A Low-Query-Budget Transfer Attack on Android Malware Detectors

RFTransUNet: Res-Feature Cross Vision Transformer-Based UNet for Building Extraction From High-Resolution Remote Sensing Images

Autonomous Road Defects Segmentation Using Transformer-Based Deep Learning Models With Custom Dataset

Enhancing the Survivability of Power Systems With Grid-Edge DERs Against DoS Attacks

Research on InSAR Coherence Proxy and Optimization Method for Interferometric Network Construction in the Era of InSAR Big Data

SD-DETR: Space Debris Detection Transformer Based on Dynamic Convolutional Network and Cross-Scale Collaborative Attention

Adaptive Buffering Strategies for Incremental Learning Under Concept Drift in Lifestyle Disease Modeling

CathepsinDL: Deep Learning-Driven Model for Cathepsin Inhibitor Screening and Drug Target Identification

Boosting the Performance of Image Restoration Models Through Training With Deep-Feature Auxiliary Guidance

A Scalable Framework for Big Data Analytics in Psychological Research: Leveraging Distributed Systems and Cluster Management


DSCP-UNet: A Tunnel Crack Segmentation Algorithm Based on Lightweight Diminutive Size and Colossal Perception


Spatial–Temporal Feature Interaction and Multiscale Frequency-Domain Fusion Network for Remote Sensing Change Detection

A Self-Adaptive Intrusion Detection System for Zero-Day Attacks Using Deep Q-Networks

XAI-SkinCADx: A Six-Stage Explainable Deep Ensemble Framework for Skin Cancer Diagnosis and Risk-Based Clinical Recommendations

CSD: Channel Selection Dropout for Regularization of Convolutional Neural Networks

IntelliUnitGen: A Unit Test Case Generation Framework Based on the Integration of Static Analysis and Prompt Learning

LLM-Based News Recommendation System With Multi-Granularity News Content Fusion and Dual-View User Interest Perception

Encouraging Discriminative Attention Through Contrastive Explainability Learning for Lung Cancer Diagnosis

ESRVA: Enhanced Super-Resolution and Visual Annotation Model for Object-Level Image Interpretation Using Deep Learning

IoT and Machine Learning for the Forecasting of Physiological Parameters of Crop Leaves

Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient

ECG Heartbeat Classification Using CNN Autoencoder Feature Extraction and Attention-Augmented BiLSTM Classifier

Low-Similarity Client Sampling for Decentralized Federated Learning

AI-Based Detection of Coronary Artery Occlusion Using Acoustic Biomarkers Before and After Stent Placement

BWFNet: Bitemporal Wavelet Frequency Network for Change Detection in High-Resolution Remote Sensing Images

Intelligent Intrusion Detection Mechanism for Cyber Attacks in Digital Substations

Investigating Data Consistency in the ASHRAE Dataset Using Clustering and Label Matching

Machine Learning-Driven Analysis of User Bandwidth Allocation and Performance in 5G Network

A Pilot-Free Estimation Method of Fading Channel for Satellite Communication Based on Limited Intercept Samples


A Benchmark Dataset and Novel Methods for Parallax-Based Flying Aircraft Detection in Sentinel-2 Imagery

A One-Shot Learning Approach for Fault Classification of Bearings via Multi-Autoencoder Reconstruction

Intelligent Warehousing: A Machine Learning and IoT Framework for Precision Inventory Optimization


ROBENS: A Robust Ensemble System for Password Strength Classification

Deep Learning-Driven Craft Design: Integrating AI Into Traditional Handicraft Creation

A Dual-Stage Framework for Behavior-Enhanced Automated Code Generation in Industrial-Scale Meta-Models


Contrastive and Attention-Based Multimodal Fusion: Detecting Negative Memes Through Diverse Fusion Strategies

OAS-XGB: An OptiFlect Adaptive Search Optimization Framework Using XGBoost to Predict Length of Stay for CAD Patients

Back and Forward Incremental Learning Through Knowledge Distillation for Object Detection Unmanned Aerial Vehicles

An Attention-Guided Improved Decomposition-Reconstruction Model for Stock Market Prediction

Evaluating Time-Series Deep Learning Models for Accurate and Efficient Reconstruction of Clinical 12-Lead ECG Signals

STMTNet: Spatio-Temporal Multiscale Triad Network for Cropland Change Detection in Remote Sensing Images

Impulsive Gain-Focused Channel Selection Method for Wireless Underwater Optical Communications
Published on: Sept 2025
DualDRNet: A Unified Deep Learning Framework for Customer Baseline Load Estimation and Demand Response Potential Forecasting for Load Aggregators

Beekeeper: Accelerating Honeypot Analysis With LLM-Driven Feedback

FedSalesNet: A Federated Learning–Inspired Deep Neural Framework for Decentralized Multi-Store Sales Forecasting

Indoor Localization Using Smartphone Magnetic Sensor Data: A Bi-LSTM Neural Network Approach

Reinforcement Learning With Clustering Optimization for Antenna Parameter Adjustment in HAPS Networks

Innovative Methodology for Determining Basic Wood Density Using Multispectral Images and MAPIR RGNIR Camera

Trustworthiness Evaluation of Large Language Models Using Multi-Criteria Decision Making

LSODNet: A Lightweight and Efficient Detector for Small Object Detection in Remote Sensing Images

Random Forests Relay Selector in Buffer-Aided Cooperative Networks

A Hybrid Priority-Laxity-Based Scheduling Algorithm for Real-Time Aperiodic Tasks Under Varying Environmental Conditions

Copper and Aluminum Scrap Detection Model Based on Improved YOLOv11n

Power Demand Forecasting in Iraq Using Singular Spectrum Analysis and Kalman Filter-Smoother

Enhancing Remaining Useful Life Prediction Against Adversarial Attacks: An Active Learning Approach
Published on: Sept 2025
Enhancement of Implicit Emotion Recognition in Arabic Text: Annotated Dataset and Baseline Models

Anomaly Detection and Segmentation in Carotid Ultrasound Images Using Hybrid Stable AnoGAN


AI-Empowered Latent Four-dimensional Variational Data Assimilation for River Discharge Forecasting

BSM-DND: Bias and Sensitivity-Aware Multilingual Deepfake News Detection Using Bloom Filters and Recurrent Feature Elimination

Analyzing Lane Visibility Distance on Urban and Suburban Roads in Slovakia Under Various Weather Conditions Using a Single Camera
Published on: Sept 2025
Enhanced Lesion Localization and Classification in Ocular Tumor Detection Using Grad-CAM and Transfer Learning

A New Class of Hybrid LSTM-VSMN for Epileptic EEG Signal Generation and Classification


Optimized Kolmogorov–Arnold Networks-Driven Chronic Obstructive Pulmonary Disease Detection Model

Data Augmentation for Text Classification Using Autoencoders

A Multi-Factor Authentication Method for Power Grid Terminals Based on Edge Computing Paradigm

Performance Analysis of Active RIS-Aided Wireless Communication Systems Over Nakagami-$m$ Fading Channel

Retinal Fusion Network with Contrastive Learning for Imbalanced Multi-Class Retinal Disease Recognition in FFA

SMA-YOLO: A Defect Detection Algorithm for Self-Explosion of Insulators Under Complex Backgrounds

Semi-Supervised Prefix Tuning of Large Language Models for Industrial Fault Diagnosis with Big Data


Spatio-Temporal Forecasting of Bus Arrival Times Using Context-Aware Deep Learning Models in Urban Transit Systems

A Lightweight Recurrent Architecture for Robust Urban Traffic Forecasting With Missing Data

A Hybrid Neural-CRF Framework for Assamese Part-of-Speech Tagging

Multimodal SAM-Adapter for Semantic Segmentation

Enhancing Coffee Leaf Disease Classification via Active Learning and Diverse Sample Selection

Synthetic Attack Dataset Generation With ID2T for AI-Based Intrusion Detection in Industrial V2I Network

NOMA Channel State Estimation: Deep Learning Approaches

From Timed Automata to Go: Formally Verified Code Generation and Runtime Monitoring for Cyber-Physical Systems



E-DANN: An Enhanced Domain Adaptation Network for Audio-EEG Feature Decoupling in Explainable Depression Recognition

A Fine-Grained Remote Sensing Classification Approach for Mine Development Land Types Based on the Integration of HRNet and DeepLabV3+

Remote Sensing Image Dehazing Using Content-Driven State Space Modeling With Scale-Aware Aggregation

Optimized Hybrid Framework Versus Spark and Hadoop: Performance Analysis for Big Data Applications in Vehicular Engine Systems

Improving Medical X-Ray Imaging Diagnosis With Attention Mechanisms and Robust Transfer Learning Techniques

Multiscale Feature Enhancement for Water Body Segmentation in High-Resolution Remote Sensing Images

G-SQL: A Schema-Aware and Rule-Guided Approach for Robust Natural Language to SQL Translation

EEG-Based Prognostic Prediction in Moderate Traumatic Brain Injury: A Hybrid BiLSTM-AdaBoost Approach

Lightweight End-to-End Patch-Based Self-Attention Network for Robust Image Forgery Detection

Prompt-Driven Multitask Learning With Task Tokens for ORSI Salient Object Detection

STMINet: Spatio-Temporal Multigranularity Intermingling Network for Remote Sensing Change Detection

A Comprehensive Study on Frequent Pattern Mining and Clustering Categories for Topic Detection in Persian Text Stream

Detection to Framework for Traffic Signs Using a Hybrid Approach

Phaseper: A Complex-Valued Transformer for Automatic Speech Recognition

Adjusted Exponential Scaling: An Innovative Approach for Combining Diverse Multiclass Classifications

Security Analysis and Performance Evaluation of Certificateless Proxy Re-Encryption for Blockchain Applications

GF-ResFormer: A Hybrid Gabor-Fourier ResNet-Transformer Network for Precise Semantic Segmentation of High-Resolution Remote Sensing Imagery

Hand Signs Recognition by Deep Muscle Impedimetric Measurements

HMSA-Net: A Hierarchical Multi-Scale Attention Network for Brain Tumor Segmentation From Multi-Modal MRI

High-Accuracy Mapping of Coastal and Wetland Areas Using Multisensor Data Fusion and Deep Feature Learning

Evaluation of Machine Learning and Deep Learning Models for Fake News Detection in Arabic Headlines

TANet: A Multi-Representational Attention Approach for Change Detection in Very High-Resolution Remote Sensing Imagery

KAleep-Net: A Kolmogorov-Arnold Flash Attention Network for Sleep Stage Classification Using Single-Channel EEG With Explainability

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images
Published on: Sept 2025
Gender and Academic Indicators in First-Year Engineering Dropout: A Multi-Model Approach

Post-Quantum Authentication Framework Based on Iris Recognition and Homomorphic Encryption

Adaptive Fusion of LiDAR and Camera Data for Enhanced Precision in 3D Object Detection for Autonomous Driving

Enhancing Dynamic Malware Behavior Analysis Through Novel Windows Events With Machine Learning

ST-DGCN: A Novel Spatial-Temporal Dynamic Graph Convolutional Network for Cardiovascular Diseases Diagnosis


Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification



Optimizing Retail Inventory and Sales Through Advanced Time Series Forecasting Using Fine Tuned PrGB Regressor

Gradient-Aware Directional Convolution With Kolmogorov Arnold Network-Enhanced Feature Fusion for Road Extraction

Hybrid Deep Learning Model for Scalogram-Based ECG Classification of Cardiovascular Diseases

Towards Automated Classification of Adult Attachment Interviews in German Language Using the BERT Language Model

A Diversified Tour-Driven Deep Reinforcement Learning Approach to Routing for Intelligent and Connected Vehicles

A Modified Min-Max Method With Adaptive Distance Adjustment for RSSI-Based Indoor Localization

Global Saturation-Value Translation Approach for Haze Removal in Urban Aerial Imagery

On the Features Extracted From Dual-Polarized Sentinel-1 Images for Deep-Learning-Based Sea Surface Oil-Spill Detection

Supervised Spatially Spectrally Coherent Local Linear Embedding—Wasserstein Graph Convolutional Network for Hyperspectral Image Classification

Empowering P2P Energy Networks: A Blockchain-Based Multi-Parameter Reputation Management System for Grid Enhancement

A Classifier Adaptation and Adversarial Learning Joint Framework for Cross-Scene Coastal Wetland Mapping on Hyperspectral Imagery

Enhancing Worker Safety at Heights: A Deep Learning Model for Detecting Helmets and Harnesses Using DETR Architecture

Spectrum Anomaly Detection Using Deep Neural Networks: A Wireless Signal Perspective

SB-Net: A Novel Spam Botnet Detection Scheme With Two-Stage Cascade Learner and Ensemble Feature Selection

A Weighted Two-Hop Raft Consensus Mechanism for Large-Scale Agricultural Products Traceability

RCM: A Novel Fire Detection Technique That Effectively Resists Interference in Complex Scenarios

A CUDA-Accelerated Hybrid CNN-DNN Approach for Multi-Class Malware Detection in IoT Networks

Enhancing Stock Price Forecasting Accuracy Through Compositional Learning of Recurrent Architectures: A Multi-Variant RNN Approach

Smarter Root Cause Analysis: Enhancing BARO With Outlier Filtering and Ranking Refinement

CASCAFE Approach With Real-Time Data in Vehicle Maintenance

Mitigating the Bias in the Model for Continual Test-Time Adaptation

Securing 5G and Beyond-Enabled UAV Links: Resilience Through Multiagent Learning and Transformers Detection


Design of a CNN–Swin Transformer Model for Alzheimer’s Disease Prediction Using MRI Images


YOLOv8n-GSE: Efficient Steel Surface Defect Detection Method


PPDM-YOLO: A Lightweight Algorithm for SAR Ship Image Target Detection in Complex Environments

An Improved Method for Zero-Shot Semantic Segmentation

SiamSpecNet: One-Shot Bearing Fault Diagnosis Using Siamese Networks and Gabor Spectrograms
Published on: Aug 2025
Calibrating Sentiment Analysis: A Unimodal-Weighted Label Distribution Learning Approach
Published on: Aug 2025
On-Board Deployability of a Deep Learning-Based System for Distraction and Inattention Detection


The Spatio-Temporal Weighted Adjustment Network for Remote Sensing Image Change Detection

Cloud-Enabled Predictive Modeling of Mental Health Using Ensemble Machine Learning Models and AES-256 Security

Blockchain-Based Governance for Autonomous Weapon Systems

Efficient Object Detection in Large-Scale Remote Sensing Images via Situation-Aware Model

JDAWSL: Joint Domain Adaptation With Weight Self-Learning for Hyperspectral Few-Shot Classification

Enhancing Industrial PCB and PCBA Defect Detection: An Efficient and Accurate SEConv-YOLO Approach

FreqSpaceNet: Integrating Frequency and Spatial Domains for Remote Sensing Image Segmentation


Extractive Text Summarization Using Formality of Language

SetFitQuad: A Few-Shot Framework for Aspect Sentiment Quad Prediction With Sampling Strategies


Intelligent Handover Management in Ultra-Dense 5G Networks: A Deep Q-Learning-Based Prediction Model

HyperEAST: An Enhanced Attention-Based Spectral–Spatial Transformer With Self-Supervised Pretraining for Hyperspectral Image Classification

WU-Net: An Automatic and Lightweight Deep Learning Method for Water Body Extraction of Multispectral Remote Sensing Images


ICDRF: Indian Coin Denomination Recognition Framework

Machine Learning for Early Detection of Phishing URLs in Parked Domains: An Approach Applied to a Financial Institution

An Enhanced Transfer Learning Remote Sensing Inversion of Coastal Water Quality: A Case Study of Dissolved Oxygen

A Deep Learning Model for Predicting ICU Discharge Readiness and Estimating Excess ICU Stay Duration

Macro-Level Energy Demand Model for Cellular Telecommunication Networks

Two-Stage Neural Network Pipeline for Kidney and Tumor Segmentation

Tracing Components in e-Supply Chain at Open Marketplace Using Lightweight Consensus and Semi-Fungible Tokens

CAXF-LCCDE: An Enhanced Feature Extraction and Ensemble Learning Model for XSS Detection

Reconfigurable Production Lines for Industrial 5.0 Automation: An Intent-Based Approach

A Comparative Analysis of Blockchain-Smart Contracts-ERP Integration Strategies for Supply Network (SN) Collaboration

ShellBox: Adversarially Enhanced LLM-Interactive Honeypot Framework

A 3-D Block Stripe Noise Detection and Removal Method Based on Global Search Optimization and Dense Gabor Filters

Topological Alternatives for Precision and Recall in Generative Models

Reverse Engineering Segment Routing Policies and Link Costs With Inverse Reinforcement Learning and EM

Microwave-Based Non-Invasive Blood Glucose Sensors: Key Design Parameters and Case-Informed Evaluation

Corrections to “IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation”

Integrating Machine Learning and Observational Causal Inference for Enhanced Spectral and Energy Efficiency in Wireless Networks

What’s Going On in Dark Web Question and Answer Forums: Topic Diversity and Linguistic Characteristics


Brain Network Analysis Reveals Age-Related Differences in Topological Reorganization During Vigilance Decline

Domain-Specific Multi-Document Political News Summarization Using BART and ACT-GAN

Enhancing Global and Local Context Modeling in Time Series Through Multi-Step Transformer-Diffusion Interaction

Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation

Reinforcement Learning-Based Recommender Systems Enhanced With Graph Neural Networks


Key-Audit Chain (KAC): A Resilient and Reliable Key Management Framework for DID-Based Decentralized Environments

ULDepth: Transform Self-Supervised Depth Estimation to Unpaired Multi-Domain Learning

Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals

A Timed-Permission Access Control Profile Within MARTE

An Enhanced Density Peak Clustering Algorithm With Dimensionality Reduction and Relative Density Normalization for High-Dimensional Duplicate Data

Robust and Privacy-Preserving Federated Learning Against Malicious Clients: A Bulyan-Based Adaptive Differential Privacy Framework

A DNA-Level Convolutional Neural Network Based on Strand Displacement Reaction for Image Recognition

ATT-CR: Adaptive Triangular Transformer for Cloud Removal

Trusted Blockchain-Based Clinical Decision and Medication Management System for Movement Disorders

Explainable AI for Enhancing Efficiency of DL-Based Channel Estimation

Enhancing Long-Duration Multi-Person Tracking in Hospitality Settings Through Random-Skip Sub-Track Correction

Improving Token-Based Object Detection With Video

LARNet-SAP-YOLOv11: A Joint Model for Image Restoration and Corrosion Defect Detection of Transmission Line Fittings Under Multiple Adverse Weather Conditions
Published on: Aug 2025
Knowledge-Distilled Multi-Task Model With Enhanced Transformer and Bidirectional Mamba2 for Air Quality Forecasting

A Cyber Secure and Scalable Blockchain-Based Framework for Monitoring and Controlling Distributed Energy Resources

SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation

Toward Sustainable Agriculture: DPA-UNet for Semantic Segmentation of Landscapes Using Remote Sensing Imagery

A Spatio-Temporal Attention Network With Multiframe Information for Infrared Small Target Detection

An Efficient Topology Construction Scheme Designed for Graph Neural Networks in Hyperspectral Image Classification

SFONet: A Novel Joint Spatial-Frequency Domain Algorithm for Multiclass Ship Oriented Detection in SAR Images

Squeeze-SwinFormer: Spectral Squeeze and Excitation Swin Transformer Network for Hyperspectral Image Classification

LoFi: Neural Local Fields for Scalable Image Reconstruction

Self Attention GAN and SWIN Transformer-Based Pothole Detection With Trust Region-Based LSM and Hough Line Transform for 2D to 3D Conversion

Simultaneous RIS Adjustment and Transmission Based on Markov Chain Monte Carlo and Simulated Annealing

BCSM-YOLO: An Improved Product Package Recognition Algorithm for Automated Retail Stores Based on YOLOv11


Experimental Demonstrations of Chaotic Digital Filter-Based Physical Layer Security in Converged Fibre-mmWave Access Networks

Neurological Disorder Recognition via Comprehensive Feature Fusion by Integrating Deep Learning and Texture Analysis

LRFL-YOLO: A Large Receptive Field and Lightweight Model for Small Object Detection

Decentralized Digital Product Passport Building Blocks for Enhancing Supply Chain Sovereignty and Circular Economy Practices
Published on: Jul 2025
Improving Semantic Parsing and Text Generation Through Multi-Faceted Data Augmentation

Dynamic Energy Sparse Self-Attention Based on Informer for Remaining Useful Life of Rolling Bearings

SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning

Edge Server Placement and Task Allocation for Maximum Delay Reduction

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Ground-Based Remote Sensing Cloud Image Segmentation Using Convolution-MLP Network

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning

Mapping Spatio-Temporal Dynamics of Offshore Targets Using SAR Images and Deep Learning

A Hybrid Deep Learning-Machine Learning Stacking Model for Yemeni Arabic Dialect Sentiment Analysis

ASFF-Det: Adaptive Space-Frequency Fusion Detector for Object Detection in SAR Images

CaMPASS-Net: A Deep Learning Framework on Capacity Maximization for MIMO Pinching Antenna Systems in IoT


Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting?


High Quality Dynamic Occlusion Computational Ghost Imaging Guided Through Conditional Diffusion Model

ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions

Federated Learning for Distributed IoT Security: A Privacy-Preserving Approach to Intrusion Detection

XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI

Data Quality Analyses for Automatic Aerial Thermography Inspection of PV Power Plants

YOLOv5-MDS: Target Detection Model for PCB Defect Inspection Based on YOLOv5 Integrated With Mamba Architecture

Autism spectrum disorder detection using parallel DCNN with improved teaching learning optimization feature selection scheme

A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks

Research on Natural Language Misleading Content Detection Method Based on Attention Mechanism

Highlight Removal From Wireless Capsule Endoscopy Images

Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets

Reinforcement Learning-Driven Secrecy Energy Efficiency Maximization in RIS-Enabled Communication Systems


CIA-UNet: An Attention-Enhanced Multi-Scale U-Net for Single Tree Crown Segmentation

SN360: Semantic and Surface Normal Cascaded Multi-Task 360 Monocular Depth Estimation

DADSR: Degradation-Aware Diffusion Super-Resolution Model for Object-Level SAR Image

Optimizing the Learnable RoPE Theta Parameter in Transformers

Brain-Shapelet: A Framework for Capturing Instantaneous Abnormalities in Brain Activity for Autism Spectrum Disorder Diagnosis

An Automated Method Inspired by Taxonomic Classification for Distinguishing Chilean Pelagic Fish Species

CAN-GraphiT: A Graph-Based IDS for CAN Networks Using Transformer

Depth Inversion Using SAR and Super-Resolution Enhancement: A Case Study on Case II Waters

Detecting Information Flow Security Vulnerabilities by Analysis Coupling


Optimal ACL Policy Placement in Hybrid SDN Networks: A Reinforcement Learning Approach

Attention-Based Dual-Knowledge Distillation for Alzheimer’s Disease Stage Detection Using MRI Scans

Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution

Pre-Processing-Based Walsh Code With Switched System in Secure Image Steganography Enhancement

Frequency Spectrum Adaptor for Remote Sensing Image–Text Retrieval

Driving Mechanisms of User Engagement With AI-Generated Content on Social Media Platforms: A Multimethod Analysis Combining LDA and fsQCA



Scalable Cold-Start Optimization in Serverless Computing: Leveraging Function Fusion With PanOpticon Simulator

Power Transmission Corridors Wildfire Detection for Multi-Scale Fusion and Adaptive Texture Learning Based on Transformers

Enhancing Image Quality by Optimizing and Fine-Tuning Multi-Fidelity Generative Adversarial Networks

Efficient Text Encoders for Labor Market Analysis

A Comparative Study of Sequence Clustering Algorithms

Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data


Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression


Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes

A Temporal–Spatial–Spectral Fusion Framework for Coastal Wetland Mapping on Time-Series Remote Sensing Imagery


Enhancing MANET Security Through Long Short-Term Memory-Based Trust Prediction in Location-Aided Routing Protocols

A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening


DriftShield: Autonomous Fraud Detection via Actor-Critic Reinforcement Learning With Dynamic Feature Reweighting

ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits

A Novel SHiP Vector Machine for Network Intrusion Detection

DCT-Based Channel Attention for Multivariate Time Series Classification


RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection

SuperCoT-X: Masked Hyperspectral Image Modeling With Diverse Superpixel-Level Contrastive Tokenizer

DB-Net: A Dual-Branch Hybrid Network for Stroke Lesion Segmentation on Non-Contrast CT Images

Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

An Improved Backbone Fusion Neural Network for Orchard Extraction

vConnect: V2V Connectivity Prediction and Independent Task Offloading Framework in Vehicular Edge Computing

Toward Sustainable 6G Cellular System Core-Network-Level Traffic Aggregation: An Empirical Study

LS-YOLO: A Lightweight, Real-Time YOLO-Based Target Detection Algorithm for Autonomous Driving Under Adverse Environmental Conditions

Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping

Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E Using Deep Reinforcement Learning

PAdaptCD: Progressive Adaptive Thresholding and Bitemporal Image Augmentation for Semisupervised Change Detection

Leveraging RAG and LLMs for Access Control Policy Extraction From User Stories in Agile Software Development

Multistage Training and Fusion Method for Imbalanced Multimodal UAV Remote Sensing Classification

Time Series-Based Fault Detection and Classification in IEEE 9-Bus Transmission Lines Using Deep Learning

Optimizing Multimodal Data Queries in Data Lakes


Deep Neural Networks in Smart Grid Digital Twins: Evolution, Challenges, and Future Outlooks

Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept

A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data

DAM-Net: Domain Adaptation Network With Microlabeled Fine-Tuning for Change Detection

Analysis of Meteorological and Soil Parameters for Predicting Ecosystem State Dynamics

RUL Prediction Based on MBGD-WGAN-GRU for Lithium-Ion Batteries

Multi-Modal Feature Set-Based Detection of Freezing of Gait in Parkinson’s Disease Patients Using SVM

Short-Term Photovoltaic Power Combined Prediction Based on Feature Screening and Weight Optimization

Transformer-Guided Serial Knowledge Distillation for High-Precision Anomaly Detection


HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification

AZIM: Arabic-Centric Zero-Shot Inference for Multilingual Topic Modeling With Enhanced Performance on Summarized Text

Trajectory of Fifths in Tonal Mode Detection

Exploring Bill Similarity with Attention Mechanism for Enhanced Legislative Prediction

AI-Driven Nudge Optimization: Integrating Two-Tower Networks and Multi-Armed Bandit With Behavioral Economics for Digital Banking Campaign

Performance Evaluation of Different Speech-Based Emotional Stress Level Detection Approaches

Ethereum Blockchain Interconnectivity for Dynamic and Privacy-Preserving Access Control

Explainable AI for Spectral Analysis of Electromagnetic Fields

Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics

DFC-Net: Dual-Branch Collaborative Feature Enhancement for Cloud Detection in Remote Sensing Images

Fine-Scale Small Water Body Uncovered by GF-2 Remote Sensing and Multifeature Deep Learning Model

FR-CapsNet: Enhancing Low-Resolution Image Classification via Frequency Routed Capsules

Improved GNSS Positioning Schemes in Urban Canyon Environments

PARS: A Position-Based Attention for Rumor Detection Using Feedback From Source News

Deep Learning-Driven Labor Education and Skill Assessment: A Big Data Approach for Optimizing Workforce Development and Industrial Relations

Energy-Efficient SAR Coherent Change Detection Based on Deep Multithreshold Spiking-UNet

Cache Contention Aware Virtual Machine Placement and Mitigation Using Adaptive ABC Algorithm


Mixing High-Frequency Bands Based on Wavelet Decomposition for Long-Term State-of-Charge Forecasting of Lithium-Ion Batteries

Trust Decay-Based Temporal Learning for Dynamic Recommender Systems With Concept Drift Adaptation


Cooperative Communication Resources Scheduling of Satellite Network Using a Mixed Vector Encoding Heuristic Algorithm

Integrating Sociocultural Intelligence Into Cybersecurity: A LESCANT-Based Approach for Phishing and Social Engineering Detection

Systemic Analysis of the QS International Research Network Indicator Using Big Data: Regional Inequalities and Recommendations for Improved University Rankings


Diagnosis of Commutation Failure in a High- Voltage Direct Current Transmission System Based on Fuzzy Entropy Feature Vectors and a PCNN-GRU

BEATS: Practical Audit Trail in Blockchain Systems

Optimizing Predictive Maintenance in Industrial IoT Cloud Using Dragonfly Algorithm

Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks

Linear and Numerical SDoF Bounds of Active RIS-Assisted MIMO Wiretap Interference Channel


Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data

Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis

Combining Autoregressive Models and Phonological Knowledge Bases for Improved Accuracy in Korean Grapheme-to-Phoneme Conversion

Exploiting Opportunistic Scheduling Schemes on Cooperative NOMA Networks Under Active Eavesdropper

Enhancing Water Bodies Detection in the Highland and Coastal Zones Through Multisensor Spectral Data Fusion and Deep Learning

A Novel Hybrid Deep Learning-Based Framework for Intelligent Anomaly Detection in Smart Meters

Enhancing Hyperspectral Images Compressive Sensing Reconstruction With Smooth Low-Rankness Joint Gradient Sparsity

Guest Editorial Special Section on Generative AI and Large Language Models Enhanced 6G Wireless Communication and Sensing

DSEM-NIDS: Enhanced Network Intrusion Detection System Using Deep Stacking Ensemble Model

Hybrid CNN-Ensemble Framework for Intelligent Optical Fiber Fault Detection and Diagnosis

Novel Efficient Steel Surface Defect Detection Model Based on ConvNeXt v2 and Squeeze Aggregated Excitation Attention

Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection

LegalBot-EC: An LLM-Based Chatbot for Legal Assistance in Ecuadorian Law


CSCP-YOLO: A Lightweight and Efficient Algorithm for Real-Time Steel Surface Defect Detection

Cybersecurity in Cloud Computing AI-Driven Intrusion Detection and Mitigation Strategies

Multi-Scale Information Interaction and Feature Pyramid Network for Salient Object Detection

Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models

Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis

Online Self-Training Driven Attention-Guided Self-Mimicking Network for Semantic Segmentation

OPTISTACK: A Hybrid Ensemble Learning and XAI-Based Approach for Malware Detection in Compressed Files

Guaranteed False Data Injection Attack Without Physical Model

Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework


An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning

MalPacDetector: An LLM-Based Malicious NPM Package Detector

TMAR: 3-D Transformer Network via Masked Autoencoder Regularization for Hyperspectral Sharpening

Dual Passive-Aggressive Stacking k-Nearest Neighbors for Class-Incremental Multi-Label Stream Classification

A Self-Sovereign Identity-Based Authentication and Reputation Protocol for IoV Applications

Consistency Preserved Nonuniform Scattering Removal for Wide-Swath Remote Sensing Images

When Multimodal Large Language Models Meet Computer Vision: Progressive GPT Fine-Tuning and Stress Testing


A Reinforcement Learning Approach to Personalized Asthma Exacerbation Prediction Using Proximal Policy Optimization

Transfer Learning Between Sentinel-1 Acquisition Modes Enhances the Few-Shot Segmentation of Natural Oil Slicks in the Arctic

An End-to-End Deep Learning System for Automated Fashion Tagging: Segmentation, Classification, and Hierarchical Labeling

Semantic-Retention Attack for Continual Named Entity Recognition

Unsupervised Context-Linking Retriever for Question Answering on Long Narrative Books

Attention-Enhanced CNN for High-Performance Deepfake Detection: A Multi-Dataset Study

Descriptor: Manually Annotated CT Dataset of Lung Lobes in COVID-19 and Cancer Patients (LOCCA)

FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms

Faster-PPENet: Advancing Logistic Intelligence for PPE Recognition at Construction Sites

Secure and Efficient maTLS With Proxy Signature Scheme

Evaluation of Post Hoc Uncertainty Quantification Approaches for Flood Detection From SAR Imagery

Learning Frequency-Aware Spatial Attention by Reconstructing Images With Different Frequency Responses

SecFedMDM-1: A Federated Learning-Based Malware Detection Model for Interconnected Cloud Infrastructures

AGU2-Net: Multi-Scale U2-Net Enhanced by Attention Gate Mechanism for Image Tampering Localization

PanOpt: A Nationwide Joint Optimization of Dynamic Bed Allocation and Patient Transfer in Pandemics

Toward Compliance and Transparency in Raw Material Sourcing With Blockchain and Edge AI

Time Series Forecasting Based on Temporal Networks Evolution and Dynamic Constraints

ODACE-RMS: A Remote Web-Based Platform for Automated Multi-Device Android Testing and Certification

Incentive Mechanism for Data Sharing in Smart Manufacturing Under the Industrial Internet

Hierarchical Multi-Scale Patch Attention and Global Feature-Adaptive Fusion for Robust Occluded Face Recognition

Research on Lingnan Culture Image Restoration Methods Based on Multi-Scale Non-Local Self-Similar Learning

PlantHealthNet: Transformer-Enhanced Hybrid Models for Disease Diagnosis and Severity Estimation in Agriculture

Effective Tumor Annotation for Automated Diagnosis of Liver Cancer

Enhancing the Sustainability of Machine Learning-Based Malware Detection Techniques for Android Applications

Multi-Tier HetNets With Random DDoS Attacks: Service Probability and User Load Analysis

Power Wavelet Cepstral Coefficients (PWCC): An Accurate Auditory Model-Based Feature Extraction Method for Robust Speaker Recognition

A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping

The Construction of Knowledge Graphs in the Assembly Domain Based on Deep Learning

Para-YOLO: An Efficient High-Parameter Low-Computation Algorithm Based on YOLO11n for Remote Sensing Object Detection

Blockchain and IoT-Driven Sustainable Battery Recycling: Integration and Challenges

Multisensor Fusion and Deep Learning Approaches for Semantic Segmentation of Glacial Lakes: A Comparative Study for Coastal Hydrology Applications


Spatial-Temporal Cooperative In-Vehicle Network Intrusion Detection Method Based on Federated Learning

PNet-IDS: A Lightweight and Generalizable Convolutional Neural Network for Intrusion Detection in Internet of Things

EEG-Based Seizure Onset Detection of Frontal and Temporal Lobe Epilepsies Using 1DCNN

Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search

Security-Enhanced Image Encryption: Combination of S-Boxes and Hyperchaotic Integrated Systems

Robust Face Recognition Using Deep Learning and Ensemble Classification

Global Structural Knowledge Distillation for Semantic Segmentation

A Multi-Modal Approach for the Molecular Subtype Classification of Breast Cancer by Using Vision Transformer and Novel SVM Polyvariant Kernel

Improved YOLOv5-Based Radar Object Detection

Impact of Channel and System Parameters on Performance Evaluation of Frequency Extrapolation Using Machine Learning

A Hankelization-Based Neural Network-Assisted Signal Classification in Integrated Sensing and Communication Systems

A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease

Cloud-Fog Automation: The New Paradigm Toward Autonomous Industrial Cyber-Physical Systems

Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks

Selective Intensity Ensemble Classifier (SIEC): A Triple-Threshold Strategy for Microscopic Malaria Cell Image Classification

MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV

A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers

Hybrid Deep Learning and Fuzzy Matching for Real-Time Bidirectional Arabic Sign Language Translation: Toward Inclusive Communication Technologies

Lightweight and Accurate YOLOv7-Based Ensembles With Knowledge Distillation for Urinary Sediment Detection

HistoDX: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques

A Full Perception Layered Convolution Network for UAV Point Clouds Data Towards Landslide Crack Detection

A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks Against LLMs

Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless-Powered Sensor Networks

A Deep Learning Approach for Fault Detection and Localization in MT-VSC-HVDC System Utilizing Wavelet Scattering Transform

DiverseNet: Decision Diversified Semi-Supervised Semantic Segmentation Networks for Remote Sensing Imagery

Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning

Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions: A Low-Rank Robust Decomposition Model

Computationally Enhanced UAV-Based Real-Time Pothole Detection Using YOLOv7-C3ECA-DSA Algorithm

Eliminating Meteorological Dependencies in Solar Power Forecasting: A Deep Learning Solution With NeuralProphet and Real-World Data

The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats

Data-Driven Policy Making Framework Utilizing TOWS Analysis

Cancer Cell Classification From Peripheral Blood Smear Data Using the YOLOv8 Architecture

Spatial-Temporal Discretization Optimization in the Modeling of Optical and RF Wireless Networks

A Hybrid CT-DEWCA-Based Energy-Efficient Routing Protocol for Data and Storage Nodes in Underwater Acoustic Sensor Networks

Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques

Advanced Leaf Classification Using Multi-Layer Perceptron for Smart Crop Management

Row-Column Decoupled Loss: A Probability-Based Geometric Similarity Framework for Aerial Micro-Target Detection

The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection

Bambda: A Real-Time Verification Framework for Serverless Computing

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques

Enhancing Food Security With High-Quality Land-Use and Land-Cover Maps: A Local Model Approach

Estimation of Forest Aboveground Biomass Using Multitemporal Quad-Polarimetric PALSAR-2 SAR Data by Model-Free Decomposition Approach in Planted Forest

Novel Unsupervised Cluster Reinforcement Q-Learning in Minimizing Energy Consumption of Federated Edge Cloud

Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique

MEIS-YOLO: Improving YOLOv11 for Efficient Aerial Object Detection with Lightweight Design

DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detection of Diseases in Cocos Nucifera

Topology Knapsack Problem for Geometry Optimization

Early In-Hospital Mortality Prediction Based on xTimesNet and Time Series Interpretable Methods

PASS-SAM: Integration of Segment Anything Model for Large-Scale Unsupervised Semantic Segmentation

On Spatial Correlation Properties in Rice Wireless Channels for Physical Layer Security

A Transfer Learning-Based Framework for Enhanced Classification of Perceived Mental Stress Using EEG Spectrograms

BD-WNet: Boundary Decoupling-Based W-Shape Network for Road Segmentation in Optical Remote Sensing Imagery

A Novel DNA Techniques to Strengthen Cryptographic Permutation Tables in Encryption Algorithm

R-YOLO: Enhancing Takeoff/Landing Safety in UAM Vertiports With Deep Learning Model

Smart Contract-Based Peer-to-Peer Energy Token Trading for Self-Decisive Retailers and Prosumers With Flexible Loads




Enhancing Fabric Defect Detection With Attention Mechanisms and Optimized YOLOv8 Framework


A Federated Explainable AI Framework for Smart Agriculture: Enhancing Transparency, Efficiency, and Sustainability

A Novel Polynomial Activation for Audio Classification Using Homomorphic Encryption

Interpretable Chinese Fake News Detection With Chain-of-Thought and In-Context Learning

Assessing the Detection Capabilities of RGB and Infrared Models for Robust Occluded and Unoccluded Pedestrian Detection

Self- and Cross-Attention Enhanced Transformer for Visible and Thermal Infrared Hyperspectral Image Classification

A Novel Approach to Continual Knowledge Transfer in Multilingual Neural Machine Translation Using Autoregressive and Non-Autoregressive Models for Indic Languages

An Integrated Sample-Free Method for Agricultural Field Delineation From High-Resolution Remote Sensing Imagery

Machine Anomalous Sound Detection Using Spectral-Temporal Modulation Representations Derived From Machine-Specific Filterbanks

A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration

PIONet: A Positional Encoding Integrated Onehot Feature-Based RNA-Binding Protein Classification Using Deep Neural Network

An Innovative Adaptive Threshold-Based BESS Controller Utilizing Deep Learning Forecast for Peak Demand Reductions

ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation

A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection

A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection

Defect Detection Algorithm for Electrical Substation Equipment Based on Improved YOLOv10n

Cauchy-Lanczos Algorithm for Effective Dimension Reduction

Leveraging Edge Intelligence for Solar Energy Management in Smart Grids


Anomaly-Focused Augmentation Method for Industrial Visual Inspection

Emotion-Based Music Recommendation System Integrating Facial Expression Recognition and Lyrics Sentiment Analysis

An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems

Fused YOLO and Traditional Features for Emotion Recognition From Facial Images of Tamil and Russian Speaking Children: A Cross-Cultural Study

Osteosarcoma CT Image Segmentation Based on OSCA-TransUnet Model

Corrections to “Research on Underwater Small Target Detection Technology Based on Single-Stage USSTD-YOLOv8n”

Segmentation and Classification of Skin Cancer Diseases Based on Deep Learning: Challenges and Future Directions

Enhancing Internet Traffic Forecasting in MEC Environments With 5GT-Trans: Leveraging Synthetic Data and Transformer-Based Models

MultiSHTM: Multi-Level Attention Enabled Bi-Directional Model for the Summarization of Chart Images

Time-Triggered Task Offloading Scheduling in TSN-Based Edge Computing Power Networks

Improved YOLOv8 Algorithm was Used to Segment Cucumber Seedlings Under Complex Artificial Light Conditions

M$^{2}$Convformer: Multiscale Masked Hybrid Convolution-Transformer Network for Hyperspectral Image Super-Resolution

TuSegNet: A Transformer-Based and Attention-Enhanced Architecture for Brain Tumor Segmentation

Lorenz-PSO Optimized Deep Neural Network for Enhanced Phonocardiogram Classification

A Concept for Network Slicing in Wireless Mesh Networks

An Efficient Encoding Spectral Information in Hyperspectral Images for Transfer Learning of Mask R-CNN for Instance Segmentation of Tomato Sepals


Dam Crack Instance Segmentation Algorithm Based on Improved YOLOv8

IoT Device Identification Techniques: A Comparative Analysis for Security Practitioners

A Secure COVID Affected CT Scan Image Encryption Scheme Using Hybrid MLSCM for IoMT Environment

High-Performance Lung Disease Identification and Explanation Using a ReciproCAM-Enhanced Lightweight Convolutional Neural Network

How Deep is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation

A Weighted Low-Rank and Sparse Constraint-Based Multichannel Radar Forward-Looking Imaging Method

A Data Resource Trading Price Prediction Method Based on Improved LightGBM Ensemble Model

Contextual Tomographic SAR Denoising Approach for Estimating Scatterers’ Height and Deformation Velocity

Published on: May 2025
Decoding the Mystery: How Can LLMs Turn Text Into Cypher in Complex Knowledge Graphs?

GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection

Automatic Identification of Amharic Text Idiomatic Expressions Using a Deep Learning Approach

Enhancing Bounding Box Regression for Object Detection: Dimensional Angle Precision IoU-Loss

Statistical Performance Evaluation of the Deep Learning Architectures Over Body Fluid Cytology Images

Compressed Speech Steganalysis Through Deep Feature Extraction Using 3D Convolution and Bi-LSTM


High Perplexity Mountain Flood Level Forecasting in Small Watersheds Based on Compound Long Short-Term Memory Model and Multimodal Short Disaster-Causing Factors

MCDGMatch: Multilevel Consistency Based on Data-Augmented Generalization for Remote Sensing Image Classification

Simulating Nighttime Visible Satellite Imagery of Tropical Cyclones Using Conditional Generative Adversarial Networks

Deepfake Detection Using Spatio-Temporal-Structural Anomaly Learning and Fuzzy System-Based Decision Fusion

Discovery Latency Analysis of Ultra-Dense Internet-of-Things Networks

Understanding Software Defect Prediction Through eXplainable Neural Additive Models

CPS-IIoT-P2Attention: Explainable Privacy-Preserving With Scaled Dot-Product Attention in Cyber-Physical System-Industrial IoT Network

MulFF-Net: A Domain-Aware Multiscale Feature Fusion Network for Breast Ultrasound Image Segmentation With Radiomic Applications

Gaussian Q Function Approximation in Wireless Communication System’s Design: A Gradient-Based Optimization Approach

Weak–Strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification

Road Perception for Autonomous Driving: Pothole Detection in Complex Environments Based on Improved YOLOv8

DRL-Based Task Offloading and Resource Allocation Strategy for Secure V2X Networking

Real-Time Object Detection Using Low-Resolution Thermal Camera for Smart Ventilation Systems

Hybrid Dual-Input Model for Respiratory Sound Classification With Mel Spectrogram and Waveform

SPUFChain: Permissioned Blockchain Lightweight Authentication Scheme for Supply Chain Management Using PUF of IoT

Urban Parking Demand Forecasting Using xLSTM-Informer Model

Intrusion Detection Using Hybrid Pearson Correlation and GS-PSO Optimized Random Forest Technique for RPL-Based IoT

Enhancing Property-Based Token Attestation With Homomorphic Encryption (PTA-HE) for Secure Mobile Computing

A Two-Stage U-Net Framework for Interactive Segmentation of Lung Nodules in CT Scans

Sign Language Recognition—Dataset Cleaning for Robust Word Classification in a Landmark-Based Approach

MP-NER: Morpho-Phonological Integration Embedding for Chinese Named Entity Recognition

Color Night-Light Remote Sensing Image Fusion With Two-Branch Convolutional Neural Network

Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks

Decoding Phishing Evasion: Analyzing Attacker Strategies to Circumvent Detection Systems



A Computer Vision and Point Cloud-Based Monitoring Approach for Automated Construction Tasks Using Full-Scale Robotized Mobile Cranes

Dataset Construction and Effectiveness Evaluation of Spoken-Emotion Recognition for Human Machine Interaction

Joint Encryption and Optimization for 6G MEC-Enabled IoT Networks

Integration of Deep Learning Architectures With GRU for Automated Leukemia Detection in Peripheral Blood Smear Images

Hybrid Machine Learning-Based Multi-Stage Framework for Detection of Credit Card Anomalies and Fraud

Chinese Image Captioning Based on Deep Fusion Feature and Multi-Layer Feature Filtering Block


CASSNet: Cross-Attention Enhanced Spectral–Spatial Interaction Network for Hyperspectral Image Super-Resolution

SDN Controller Selection and Secure Resource Allocation

Mixed-Embeddings and Deep Learning Ensemble for DGA Classification With Limited Training Data

A Dual-Purpose Microwave-Optical Component for Wireless Capsule Endoscopy: A Feasibility Study by Radio Link Analysis

Data-Adaptive Dynamic Time Warping-Based Multivariate Time Series Fuzzy Clustering


Graph-Aware Multimodal Deep Learning for Classification of Diabetic Retinopathy Images

Ball Bearing Fault Diagnosis Based on Hybrid Adversarial Learning

Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks

Peduncle Detection of Ripe Strawberry to Localize Picking Point Using DF-Mask R-CNN and Monocular Depth

Self SOC Estimation for Second-Life Lithium-Ion Batteries

ConvGRU: A Lightweight Intrusion Detection System for Vehicle Networks Based on Shallow CNN and GRU

kLCRNet: Fast Road Network Extraction via Keypoint-Driven Local Connectivity Exploration

Automated Detection of Road Defects Using LSTM and Random Forest

Intent-Based Multi-Cloud Storage Management Powered by a Fine-Tuned Large Language Model

NetraAadhaar: A Deep Learning-Driven Aadhaar Verification Platform for the Aid of Visually Impaired


Benchmarking Deep Learning for Wetland Mapping in Denmark Using Remote Sensing Data

End-to-End Learning Framework Incorporating Image Reconstruction and Recognition Models
Published on: Apr 2025
BorB: A Novel Image Segmentation Technique for Improving Plant Disease Classification With Deep Learning Models

Swin Transformer and Momentum Contrast (MoCo) in Leukemia Diagnostics: A New Paradigm in AI-Driven Blood Cell Cancer Classification

Self-Denoising of BOTDA Using Deep Convolutional Neural Networks



Reinforcement Learning-Driven Task Offloading and Resource Allocation in Wireless IoT Networks

Application of Multimodal Self-Supervised Architectures for Daily Life Affect Recognition

iYOLOV7-TPE-SS: Leveraging Improved YOLO Model With Multilevel Hyperparameter Optimization for Road Damage Detection on Edge Devices

Performance Analysis of SWIPT-Assisted Cooperative NOMA Network With Non-Linear EH, Interference, and Imperfect SIC

Modeling Parking Occupancy Using Algorithm of 3D Visibility Network
Published on: Apr 2025
Global-Local Ensemble Detector for AI-Generated Fake News


Retinal Image Analysis for Heart Disease Risk Prediction: A Deep Learning Approach


Research on Book Recommendation Integrating Book Category Features and User Attribute Information

Intraoperative Surgical Navigation and Instrument Localization Using a Supervised Learning Transformer Network



Spectral-Spatial Collaborative Pretraining Framework With Multiconstraint Cooperation for Hyperspectral–Multispectral Image Fusion


SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection

Enhancing Model Robustness in Noisy Environments: Unlocking Advanced Mono-Channel Speech Enhancement With Cooperative Learning and Transformer Networks

Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study

Optimization of the Traceability of Perishable Products Through Light Blockchain and IoT in the Food Industry

Capturing Fine-Grained Food Image Features Through Iterative Clustering and Attention Mechanisms

Protection Against Poisoning Attacks on Federated Learning-Based Spectrum Sensing $\$ $ \lg $\$ $ }} ?>

Accelerating the k-Means++ Algorithm by Using Geometric Information

A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability

Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images

Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains

AI-Driven Innovation Using Multimodal and Personalized Adaptive Education for Students With Special Needs

RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification

Explainable Artificial Intelligence Driven Segmentation for Cervical Cancer Screening

An Automated Framework of Superpixels-Saliency Map and Gated Recurrent Unit Deep Convolutional Neural Network for Land Cover and Crops Disease Classification

A Super-Resolution Approach for Image Resizing of Infant Fingerprints With Vision Transformers


MobilitApp: A Deep Learning-Based Tool for Transport Mode Detection to Support Sustainable Urban Mobility

BLE Channel Sounding: Novel Method for Enhanced Ranging Accuracy in Vehicle Access

Attribute-Guided Alignment Model for Person Re-Identification With Feature Distillation and Enhancement
Published on: Apr 2025
Fine-Grained Feature Extraction in Key Sentence Selection for Explainable Sentiment Classification Using BERT and CNN

A Blur-Score-Guided Region Selection Method for Airborne Aircraft Detection in Remote Sensing Images

Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems


CIMF-Net: A Change Indicator-Enhanced Multiscale Fusion Network for Remote Sensing Change Detection

The Effect of AI Gamification on Students’ Engagement and Academic Achievement in Malaysia: SEM Analysis Perspectives

UAV High-Speed Target Reconnaissance and Deblurring

Corrections to “Predictive Energy Management for Docker Containers in Cloud Computing: A Time Series Analysis Approach”

Deriving Usability Evaluation Criteria for Threat Modeling Tools

Post-Quantum Wireless-Based Key Encapsulation Mechanism via CRYSTALS-Kyber for Resource-Constrained Devices

A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking

A Transfer Learning Approach for Landslide Semantic Segmentation Based on Visual Foundation Model


Forest Fire Detection Based on Enhanced Feature Information Capture and Long-Range Dependency


RAI-Net: Tomato Plant Disease Classification Using Residual-Attention-Inception Network

Domain-Generalized Emotion Recognition on German Text Corpora

Vision Transformers Versus Convolutional Neural Networks: Comparing Robustness by Exploiting Varying Local Features

Core Temperature Estimation of Lithium-Ion Batteries Using Long Short-Term Memory (LSTM) Network and Kolmogorov–Arnold Network (KAN)

Real-Time EEG Signal Analysis for Microsleep Detection: Hyper-Opt-ANN as a Key Solution

Performance Evaluation of Image Super-Resolution for Cavity Detection in Irradiated Materials

Multi-Level Pre-Training for Encrypted Network Traffic Classification

Mental Health Safety and Depression Detection in Social Media Text Data: A Classification Approach Based on a Deep Learning Model

ChunkFunc: Dynamic SLO-Aware Configuration of Serverless Functions

Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks

Hybrid Feed Forward Neural Networks and Particle Swarm Optimization for Intelligent Self-Organization in the Industrial Communication Networks

Satellite Image Inpainting With Edge-Conditional Expectation Attention

Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines

CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model

ST-D3QN: Advancing UAV Path Planning With an Enhanced Deep Reinforcement Learning Framework in Ultra-Low Altitudes
Published on: Apr 2025
Integrating Sentiment Analysis With Machine Learning for Cyberbullying Detection on Social Media

Illuminating the Path to Enhanced Resilience of Machine Learning Models Against the Shadows of Missing Labels

Dynamic Data Updates and Weight Optimization for Predicting Vulnerability Exploitability

Multi-Channel Multi-Protocol Quantum Key Distribution System for Secure Image Transmission in Healthcare

A Hybrid Graph-Based Risk Assessment and Attack Path Detection Model for IoT Systems

Convolutional Bi-LSTM for Automatic Personality Recognition From Social Media Texts

New Composite Chaotic Map Applied to an Image Encryption Scheme in Cybersecurity Applications

Enhancing Object Detection in Assistive Technology for the Visually Impaired: A DETR-Based Approach


TCI-Net: Structural Feature Enhancement and Multi-Level Constrained Network for Reliable Thin Crack Identification on Concrete Surfaces



Formal Specification and Verification of Smart Contract-Based Loan Management System Using TLA+

Forecasting Tunnel-Induced Ground Settlement: A Hybrid Deep Learning Approach and Traditional Statistical Techniques With Sensor Data


Enhanced Multi-Pill Detection and Recognition Using VFI Augmentation and Auto-Labeling for Limited Single-Pill Data
Published on: Apr 2025
Selective Reading for Arabic Sentiment Analysis

A FixMatch Framework for Alzheimer’s Disease Classification: Exploring the Trade-Off Between Supervision and Performance

Generating Synthetic Malware Samples Using Generative AI

A TSN-Like Slot-Based Scheduler for Improved Wireless Quality and Platoon Formation in Smart Factories

Budget-feasible truthful mechanism for resource allocation and pricing in vehicle computing

Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach

A Cascaded Ensemble Framework Using BERT and Graph Features for Emotion Detection From English Poetry


MFDAFF-Net: Multiscale Frequency-Aware and Dual Attention-Guided Feature Fusion Network for UAV Imagery Object Detection

Deep Fusion of Neurophysiological and Facial Features for Enhanced Emotion Detection

MR Spatiospectral Reconstruction Integrating Subspace Modeling and Self-Supervised Spatiotemporal Denoising

Published on: Mar 2025
MDCNN: Multi-Teacher Distillation-Based CNN for News Text Classification

Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication

ML-Aided 2-D Indoor Positioning Using Energy Harvesters and Optical Detectors for Self-Powered Light-Based IoT Sensors

Efficient-Proto-Caps: A Parameter-Efficient and Interpretable Capsule Network for Lung Nodule Characterization

Generative Diffusion Network for Creating Scents

Winograd Transform-Based Fast Detection of Heart Disease Using ECG Signals and Chest X-Ray Images


A New Definition and Research Agenda for Demand Response in the Distributed Energy Resource Era

Robust Framework for PMU Placement and Voltage Estimation of Power Distribution Network

ESFormer: A Pillar-Based Object Detection Method Based on Point Cloud Expansion Sampling and Optimised Swin Transformer


Toward an Integrated Intelligent Framework for Crowd Control and Management (IICCM)

Integrating Random Forest With Boundary Enhancement for Mapping Crop Planting Structure at the Parcel Level From Remote Sensing Images

Lung-AttNet: An Attention Mechanism-Based CNN Architecture for Lung Cancer Detection With Federated Learning
Published on: Mar 2025
A Novel Approach for Tweet Similarity in a Context-Aware Fake News Detection Model

Prefix Tuning Using Residual Reparameterization
Published on: Mar 2025
Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets

Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment

Low-Latency and Energy-Efficient Federated Learning Over Cell-Free Networks: A Trade-Off Analysis

Sustainable AI With Quantum-Inspired Optimization: Enabling End-to-End Automation in Cloud-Edge Computing


Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

YOLO-GCOF: A Lightweight Low-Altitude Drone Detection Model

Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling Process With CVAE

Evaluating ORB and SIFT With Neural Network as Alternatives to CNN for Traffic Classification in SDN Environments

A Game Theoretical Priority-Aware R2V Task Offloading Framework for Vehicular Fog Networks


Research Progress and Prospects of Pre-Training Technology for Electromagnetic Signal Analysis

Adaptive DDoS Attack Detection: Entropy-Based Model With Dynamic Threshold and Suspicious IP Reevaluation

Exploring Features and Products in E-Commerce on Consumers Behavior Using Cognitive Affective

Adaptive Token Mixer for Hyperspectral Image Classification

Real-Time Long-Wave Infrared Semantic Segmentation With Adaptive Noise Reduction and Feature Fusion

Smartphone Enabled Wearable Diabetes Monitoring System


Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness

Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition

Fed-DPSDG-WGAN: Differentially Private Synthetic Data Generation for Loan Default Prediction via Federated Wasserstein GAN

CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation

DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students

Non-Redundant Feature Extraction in Mobile Edge Computing

Enhancing Sports Team Management Through Machine Learning

UAV-Assisted IRS System With Energy Harvesting: Enhanced Reliability in Critical Scenarios for 5G/6G Wireless Communication

Cross-Modality Object Detection Based on DETR

Optimal Subdata Selection for Prediction Based on the Distribution of the Covariates

Triplet Multi-Kernel CNN for Detection of Pulmonary Diseases From Lung Sound Signals

Finger Vein Recognition Based on Vision Transformer With Feature Decoupling for Online Payment Applications

Examining Customer Satisfaction Through Transformer-Based Sentiment Analysis for Improving Bilingual E-Commerce Experiences

Enhancing Tabular Data Generation With Dual-Scale Noise Modeling

The Art of Retention: Advancing Sustainable Management Through Age-Diverse Turnover Modeling

Comparative Study of Portfolio Optimization Models for Cryptocurrency and Stock Markets

Uncoordinated Syntactic Privacy: A New Composable Metric for Multiple, Independent Data Publishing

Using Deep Learning Transformers for Detection of Hedonic Emotional States by Analyzing Eudaimonic Behavior of Online Users

Vehicle-to-Infrastructure Multi-Sensor Fusion (V2I-MSF) With Reinforcement Learning Framework for Enhancing Autonomous Vehicle Perception

Lightweight Blockchain for Authentication and Authorization in Resource-Constrained IoT Networks

A New Fault Detection Method Using Machine Learning in Analog Radio-on-Fiber MIMO Transmission System

CBCTL-IDS: A Transfer Learning-Based Intrusion Detection System Optimized With the Black Kite Algorithm for IoT-Enabled Smart Agriculture

Tongue Image Segmentation Method Based on the VDAU-Net Model

Integrating Time Series Anomaly Detection Into DevOps Workflows

Constructing a Lightweight Fire and Smoke Detection Through the Improved GhostNet Architecture and Attention Module Mechanism

Optimizing Stroke Recognition With MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis

Toward Secure and Transparent Global Authentication: A Blockchain-Based System Integrating Biometrics and Subscriber Identification Module


Cross-Modal Semantic Relations Enhancement With Graph Attention Network for Image-Text Matching

Edge-YOLO: Lightweight Multi-Scale Feature Extraction for Industrial Surface Inspection

Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning

A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification

Transforming Highway Safety With Autonomous Drones and AI: A Framework for Incident Detection and Emergency Response

Vision Transformer-Based Anomaly Detection in Smart Grid Phasor Measurement Units Using Deep Learning Models

A Novel Hybrid Model for Brain Ischemic Stroke Detection Using Feature Fusion and Convolutional Block Attention Module

DAF-Net: Dual-Aperture Feature Fusion Network for Aircraft Detection on Complex-Valued SAR Image

DUAL-GDFQ: A Dual-Generator, Dual-Phase Learning Approach for Data-Free Quantization

FLaNS: Feature-Label Negative Sampling for Out-of-Distribution Detection


Enhanced Nighttime Vehicle Detection for On-Board Processing

Maximum Flow Model With Multiple Origin and Destination and Its Application in Designing Urban Drainage Systems

1DCNN-Residual Bidirectional LSTM for Permanent Magnet Synchronous Motor Temperature Prediction Based on Operating Condition Clustering

A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention

Co-Pilot for Project Managers: Developing a PDF-Driven AI Chatbot for Facilitating Project Management

Cross-Scale Transformer-Based Matching Network for Generalizable Person Re-Identification

Near Miss Detection Using Distancing Monitoring and Distance-Based Proximal Indicators

Imposing Correlation Structures for Deep Binaural Spatio-Temporal Wiener Filtering

Estimation of Road Pavement Surface Conditions via Time Series of Satellite Synthetic Aperture Radar Images


BP-Vot: Blockchain-Based e-Voting Using Smart Contracts, Differential Privacy, and Self-Sovereign Identities

NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays

Deep Learning-Based Super-Resolution of Remote Sensing Images for Enhanced Groundwater Quality Assessment and Environmental Monitoring in Urban Areas

Deterministic Uncertainty Estimation for Multi-Modal Regression With Deep Neural Networks

Optimized Epoch Selection Ensemble: Integrating Custom CNN and Fine-Tuned MobileNetV2 for Malimg Dataset Classification

FiSC: A Novel Approach for Fitzpatrick Scale-Based Skin Analyzer’s Image Classification

Stochastic Geometry Analysis of Reconfigurable Intelligent Surface-Assisted Millimeter-Wave Energy Harvesting Networks

Autonomous Aerial Vehicle Object Detection Based on Spatial Perception and Multiscale Semantic and Detail Feature Fusion
Published on: Mar 2025

Cyber Attack Prediction: From Traditional Machine Learning to Generative Artificial Intelligence

Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation

Anomaly-Based Intrusion Detection for IoMT Networks: Design, Implementation, Dataset Generation, and ML Algorithms Evaluation

Automatic Brain Tumor Segmentation: Advancing U-Net With ResNet50 Encoder for Precise Medical Image Analysis

Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning


An Approach to Truck Driving Risk Identification: A Machine Learning Method Based on Optuna Optimization

MAD-CTI: Cyber Threat Intelligence Analysis of the Dark Web Using a Multi-Agent Framework

DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm

TRUNC: A Transfer Learning Unsupervised Network for Data Clustering

Finetuning Large Language Models for Vulnerability Detection

Evaluation of Blockchain-Based Tracking and Tracing System With Uncertain Information: A Multi-Criteria Decision-Making Approach

Enhancing Crowdfunding Success With Machine Learning and Visual Analytics: Insights From Chinese Platforms

Statistical Precoder Design in Multi-User Systems via Graph Neural Networks and Generative Modeling
Published on: Feb 2025
HIDS-RPL: A Hybrid Deep Learning-Based Intrusion Detection System for RPL in Internet of Medical Things Network

Integrate the Temporal Scheme for Unsupervised Video Summarization via Attention Mechanism

EmoNet: Deep Attentional Recurrent CNN for X (Formerly Twitter) Emotion Classification

BlockMEDC: Blockchain Smart Contracts System for Securing Moroccan Higher Education Digital Certificates


Enhancing Facial Recognition and Expression Analysis With Unified Zero-Shot and Deep Learning Techniques

FRORS: An Effective Fine-Grained Retrieval Framework for Optical Remote Sensing Images

A Privacy-Preserving Federated Learning With a Feature of Detecting Forged and Duplicated Gradient Model in Autonomous Vehicle

DAFDM: A Discerning Deep Learning Model for Active Fire Detection Based on Landsat-8 Imagery

A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement

Noise-Robust Few-Shot Classification via Variational Adversarial Data Augmentation

Design of Enhanced License Plate Information Recognition Algorithm Based on Environment Perception

Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study

Protecting Industrial Control Systems From Shodan Exploitation Through Advanced Traffic Analysis

ATT-BLKAN: A Hybrid Deep Learning Model Combining Attention is Used to Enhance Business Process Prediction

Joint Estimation of CFO and Sparse Channel for High-Mobility RIS-Assisted MIMO-OFDMA Uplink System

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection



SERN-AwGOP: Squeeze-and-Excitation Residual Network With an Attention-Weighted Generalized Operational Perceptron for Atrial Fibrillation Detection

Secured Wireless Communications Using Multiple Active and Passive Intelligent Reflecting Surfaces

High Precision Infant Facial Expression Recognition by Improved YOLOv8

Evaluating Pretrained Deep Learning Models for Image Classification Against Individual and Ensemble Adversarial Attacks

YOLORemote: Advancing Remote Sensing Object Detection by Integrating YOLOv8 With the CE-WA-CS Feature Fusion Approach

Explainable Mapping of the Irregular Land Use Parcel With a Data Fusion Deep-Learning Model

Understanding the Security Risks of Websites Using Cloud Storage for Direct User File Uploads

On the Benefit of FMG and EMG Sensor Fusion for Gesture Recognition Using Cross-Subject Validation


DOG: An Object Detection Adversarial Attack Method

Anomaly Detection and Performance Analysis With Exponential Smoothing Model Powered by Genetic Algorithms and Meta Optimization

A Transformer-Based Model for State of Charge Estimation of Electric Vehicle Batteries

Optimizing Secure Multi-User ISAC Systems With STAR-RIS: A Deep Reinforcement Learning Approach for 6G Networks


Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification

A Web-Based Solution for Federated Learning With LLM-Based Automation

Transformative Transfer Learning for MRI Brain Tumor Precision: Innovative Insights

LEU3: An Attention Augmented-Based Model for Acute Lymphoblastic Leukemia Classification


A Comparative Study of Network Slicing Techniques for Effective Utilization of Channel for 5G and Beyond 5G Networks

Optimizing Crop Recommendations With Improved Deep Belief Networks: A Multimodal Approach

Smart Packet Delivery in Mobile Underwater Sensors Networks (M-CTSP)

Multi-Stage Neural Network-Based Ensemble Learning Approach for Wheat Leaf Disease Classification

Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks

The Role of Multiple Data Characteristics in EEG-Based Biometric Recognition: The Impact of States, Channels, and Frequencies

A Hybrid Deep Learning Model for Network Intrusion Detection System Using Seq2Seq and ConvLSTM-Subnets

Anomaly Detection-Based UE-Centric Inter-Cell Interference Suppression

A Hyperspectral Classification Method Based on Deep Learning and Dimension Reduction for Ground Environmental Monitoring

Implementation and Performance Evaluation of Machine Learning-Based Apriori Algorithm to Detect Non-Technical Losses in Distribution Systems

Online Hand Gesture Recognition Using Semantically Interpretable Attention Mechanism

Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction

Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms

Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning

Federated Learning-Based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems

A Sensory Glove With a Limited Number of Sensors for Recognition of the Finger Alphabet of Polish Sign Language

ELTrack: Events-Language Description for Visual Object Tracking

Adversarial Domain Adaptation-Based EEG Emotion Transfer Recognition

Dual-Scale Complementary Spatial-Spectral Joint Model for Hyperspectral Image Classification

Laser Guard: Efficiently Detecting Laser-Based Physical Adversarial Attacks in Autonomous Driving

Provisioning of Time-Sensitive and Non-Time-Sensitive Flows With Assured Performance

Predicting Ultra-Short-Term Wind Power Combinations Under Extreme Weather Conditions

A Single-Stage Photovoltaic Module Defect Detection Method Based on Optimized YOLOv8

An Auto-Annotation Approach for Object Detection and Depth-Based Distance Estimation in Security and Surveillance Systems

Analysis of Near-Fall Detection Method Utilizing Dynamic Motion Images and Transfer Learning


GLF-NET: Global and Local Dynamic Feature Fusion Network for Real-Time Steel Strip Surface Defect Detection

Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing

Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning


Estimating Near-Surface Air Temperature From Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis

Advancing Interoperable IoT-Based Access Control Systems: A Unified Security Approach in Diverse Environments

Headline-Guided Extractive Summarization for Thai News Articles

Enhancing Cloud Security: A Multi-Factor Authentication and Adaptive Cryptography Approach Using Machine Learning Techniques

Deep Reinforcement Learning-Based Resource Allocation for QoE Enhancement in Wireless VR Communications


Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier

Interpretable Machine Learning Models for PISA Results in Mathematics


Vehicle Detection and Tracking Based on Improved YOLOv8

AEFFNet: Attention Enhanced Feature Fusion Network for Small Object Detection in UAV Imagery

Reconstruction and Classification of Brain Strokes Using Deep Learning-Based Microwave Imaging

Enhancing Digital Identity and Access Control in Event Management Systems Using Sui Blockchain

Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection

New Energy Vehicles’ Technological Innovation Strategy Under Dual Credit Policy: The Role of Blockchain Adoption and Demand Information Sharing

EEG Transformer for Classifying Students’ Epistemic Cognition States in Educational Contexts

An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification

Design of an Integrated Model for Video Summarization Using Multimodal Fusion and YOLO for Crime Scene Analysis

Vehicle and Onboard UAV Collaborative Delivery Route Planning: Considering Energy Function with Wind and Payload

Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model

Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia Assessment

Robustifying Routers Against Input Perturbations for Sparse Mixture-of-Experts Vision Transformers

An Efficient and Privacy-Preserving Federated Learning Approach Based on Homomorphic Encryption
Published on: Jan 2025
A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships

Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators

DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments

A Physics-Based Hyper Parameter Optimized Federated Multi-Layered Deep Learning Model for Intrusion Detection in IoT Networks


SqueezeSlimU-Net: An Adaptive and Efficient Segmentation Architecture for Real-Time UAV Weed Detection

Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches

Response Time Analysis With Cause-Effect Chain Considering DAG Structure and High-Load Tasks

Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction

Enhancing Indoor Localization With Temporally-Aware Separable Group Shuffled CNNs and Skip Connections

From Queries to Courses: SKYRAG’s Revolution in Learning Path Generation via Keyword-Based Document Retrieval

A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering

Drawing-Aware Parkinson’s Disease Detection Through Hierarchical Deep Learning Models



Variation in Photovoltaic Energy Rating and Underlying Drivers Across Modules and Climates

New Evaluation Method for Fuzzy Cluster Validity Indices

Multi-Modal Biometric Authentication: Leveraging Shared Layer Architectures for Enhanced Security
Published on: Jan 2025
Design of an Early Prediction Model for Parkinson’s Disease Using Machine Learning


Multiauthority KP-ABE access model with elliptic curve cryptography

Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing

A Generalized Zero-Shot Deep Learning Classifier for Emotion Recognition Using Facial Expression Images

Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing

Coverage Probability of RIS-Assisted Wireless Communication Systems With Random User Deployment Over Nakagami-$m$ Fading Channel

Construction and Performance Evaluation of Grain Porosity Prediction Models Based on Metaheuristic Algorithms and Machine Learning

DCKD: Distribution-Corrected Knowledge Distillation for Enhanced Industrial Defect Detection

Blockchain-Based Anonymous Reputation System for Performance Appraisal


CenterNet-Elite: A Small Object Detection Model for Driving Scenario


Tuberculosis Lesion Segmentation Improvement in X-Ray Images Using Contextual Background Label

IoT-Enabled Adaptive Watering System With ARIMA-Based Soil Moisture Prediction for Smart Agriculture

Multiscale Feature Fusion for Salient Object Detection of Strip Steel Surface Defects

LASSO-mCGA: Machine Learning and Modified Compact Genetic Algorithm-Based Biomarker Selection for Breast Cancer Subtype Classification

UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors

Robust and Sparse Kernel-Free Quadratic Surface LSR via L2,p-Norm With Feature Selection for Multi-Class Image Classification

Deep Learning-Based Vulnerability Detection Solutions in Smart Contracts: A Comparative and Meta-Analysis of Existing Approaches

Multi-Modal Social Media Analytics: A Sentiment Perception-Driven Framework in Nanjing Districts


EMSNet: Efficient Multimodal Symmetric Network for Semantic Segmentation of Urban Scene From Remote Sensing Imagery

A Time-Constrained and Spatially Explicit AI Model for Soil Moisture Inversion Using CYGNSS Data


Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation

Deep Learning-Based Channel Estimation With 1D CNN for OFDM Systems Under High-Speed Railway Environments

Hybrid Henry Gas-Harris Hawks Comprehensive-Opposition Algorithm for Task Scheduling in Cloud Computing

XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms


Smart Farming: Enhancing Urban Agriculture Through Predictive Analytics and Resource Optimization

Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather With Deep Learning and Thermal Camera Fusion

Hybrid Intersection Over Union Loss for a Robust Small Object Detection in Low-Light Conditions

Automated Fog Node Audit and Certification Scheme With Multiple Attestation Certificate Authorities

A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments


Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism

Performance Analysis of Active RIS-Assisted Downlink NOMA With Transmit Antenna Selection


Routing and Wavelength Assignment in Hybrid Networks With Classical and Quantum Signals



Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches


Satellite-Based Forest Stand Detection Using Artificial Intelligence

Lithium Battery Life Prediction for Electric Vehicles Using Enhanced TCN and SVN Quantile Regression

A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning

A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups

Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications

Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages

Few-Shot Object Detection in Remote Sensing: Mitigating Label Inconsistencies and Navigating Category Variations

Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset

Gaussian Mixture Model-Based Vector Approach to Real-Time Three-Dimensional Path Planning in Cluttered Environment

Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting

Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics

NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data

Application of CRNN and OpenGL in Intelligent Landscape Design Systems Utilizing Internet of Things, Explainable Artificial Intelligence, and Drone Technology

Electricity Theft Detection Using Machine Learning in Traditional Meter Postpaid Residential Customers: A Case Study on State Electricity Company (PLN) Indonesia

Detection and Classification Method for Early-Stage Colorectal Cancer Using Dyadic Wavelet Packet Transform

An Efficient Malware Detection Approach Based on Machine Learning Feature Influence Techniques for Resource-Constrained Devices



Always Clear Days: Degradation Type and Severity Aware All-in-One Adverse Weather Removal

Task-Decoupled Learning Strategies for Optimized Multiclass Object Detection From VHR Optical Remote Sensing Imagery


GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning

Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization

The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making

A Heterogeneous Ensemble Learning Method Combining Spectral, Terrain, and Texture Features for Landslide Mapping

Multiscale Adapter Based on SAM for Remote Sensing Semantic Segmentation

Resource Scheduling in MU-MIMO and NOMA Enabled Integrated Access and Backhaul Networks

Geographical Fairness in Multi-RIS-Assisted Networks in Smart Cities: A Robust Design

Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations

EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines

An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images


FedDrip: Federated Learning With Diffusion-Generated Synthetic Image

RMHA-Net: Robust Optic Disc and Optic Cup Segmentation Based on Residual Multiscale Feature Extraction With Hybrid Attention Networks

Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection

Indoor mMTC Group Targets Localization in 5G Networks Based on Parallel Chaotic Stochastic Resonance Processing of Distance Estimation Between Terminals

Real-time recognition and translation of Kinyarwanda sign language into Kinyarwanda text


Combination of Phase Rotation SM-OOK and Rectangular, Cross, Octagonal SD-8QAMs for MIMO Systems
NextJS Projects for Students - Key Programming Approaches
Server side rendering pipelines generate html content on the server before delivery to the client. IEEE literature highlights this approach for improving initial load performance and seo visibility.
In NextJS Final Year Projects, server rendering strategies are evaluated through response time analysis, scalability testing, and reproducible benchmarking.
Static generation workflows pre render pages at build time to enhance performance and reliability. IEEE research emphasizes build consistency and caching efficiency.
In NextJS Final Year Projects, static generation is validated using deployment reproducibility and performance benchmarking.
Hybrid strategies combine server side rendering and static generation within a single application. IEEE studies emphasize flexibility and performance balance.
In NextJS Final Year Projects, hybrid rendering approaches are assessed through controlled experimentation and benchmark aligned evaluation.
Api routes enable backend functionality within NextJS applications. IEEE literature emphasizes modularity and performance isolation.
In NextJS Final Year Projects, api integration is evaluated through latency profiling and reproducible validation.
Seo optimization leverages routing and metadata handling to improve discoverability. IEEE research evaluates seo impact on performance metrics.
In NextJS Final Year Projects, routing strategies are validated using seo scores and reproducible benchmarking.
Final Year NextJS Projects - Wisen TMER-V Methodology
T — Task What primary task (& extensions, if any) does the IEEE journal address?
- NextJS tasks focus on rendering optimization, web application scalability, and performance analysis.
- IEEE research evaluates tasks based on efficiency and reliability.
- Server side rendering
- Static generation
- Hybrid rendering
- Api integration
M — Method What IEEE base paper algorithm(s) or architectures are used to solve the task?
- Methods rely on component based architecture, routing strategies, and rendering pipelines.
- IEEE literature emphasizes evaluation consistency and reproducibility.
- Component based design
- Routing optimization
- Rendering pipeline control
- Modular backend integration
E — Enhancement What enhancements are proposed to improve upon the base paper algorithm?
- Enhancements address performance bottlenecks, seo optimization, and scalability challenges.
- Adaptive techniques improve robustness across traffic conditions.
- Caching strategies
- Incremental regeneration
- Performance tuning
- Scalability enhancement
R — Results Why do the enhancements perform better than the base paper algorithm?
- Results demonstrate improved page load performance and scalability.
- IEEE evaluations highlight statistically validated improvements.
- Reduced load latency
- Stable rendering output
- Improved seo metrics
- Reproducible outcomes
V — Validation How are the enhancements scientifically validated?
- Validation follows standardized web performance benchmarks and protocols.
- IEEE aligned studies emphasize reproducibility and robustness testing.
- Page speed analysis
- Seo evaluation
- Scalability testing
- Statistical validation
IEEE NextJS Projects - Libraries & Frameworks
The NextJS core framework provides routing, rendering, and build tooling. IEEE aligned studies rely on core features for controlled experimentation.
In NextJS Final Year Projects, core framework usage supports reproducible builds and performance evaluation.
React provides the component model used by NextJS applications. IEEE research emphasizes component reuse and state consistency.
In NextJS Final Year Projects, React usage is validated through stability testing and reproducible benchmarking.
Node.js enables server side execution for NextJS applications. IEEE literature evaluates runtime performance.
In NextJS Final Year Projects, runtime behavior is assessed using latency profiling and reproducible testing.
Build tools manage bundling and optimization. IEEE studies emphasize build consistency.
In NextJS Final Year Projects, build processes are validated through reproducible configuration management.
Deployment platforms support scalable hosting and delivery. IEEE research emphasizes deployment reliability.
In NextJS Final Year Projects, deployment workflows are validated through benchmark aligned evaluation.
NextJS Projects for Students - Real World Applications
Dashboards support data visualization and analytics delivery. IEEE research emphasizes performance and responsiveness.
In NextJS Final Year Projects, dashboards are validated using reproducible benchmarking.
Content platforms manage structured and unstructured web content. IEEE literature highlights scalability.
In NextJS Final Year Projects, content platforms are assessed through controlled evaluation.
Ecommerce applications require fast rendering and seo optimization. IEEE studies emphasize reliability.
In NextJS Final Year Projects, ecommerce platforms are validated using benchmark aligned experimentation.
Documentation portals require efficient routing and static generation. IEEE research evaluates usability.
In NextJS Final Year Projects, portals are assessed through reproducible validation.
Marketing websites prioritize discoverability and performance. IEEE literature emphasizes seo metrics.
In NextJS Final Year Projects, marketing sites are validated through controlled benchmarking.
Final Year NextJS Projects - Conceptual Foundations
NextJS development is conceptually grounded in optimizing web rendering strategies through server side rendering, static generation, and incremental regeneration. IEEE research treats NextJS as a performance oriented programming framework where rendering latency, seo impact, and scalability must be analyzed systematically using evaluation driven approaches rather than client side rendering alone.
From a research oriented perspective, NextJS Final Year Projects emphasize evaluation driven formulation of web application tasks such as rendering pipeline optimization, routing efficiency, and content delivery consistency. Experimental workflows prioritize reproducible benchmarking, performance profiling under variable traffic, and statistically interpretable outcomes aligned with IEEE publication standards.
Within the broader applied web ecosystem, NextJS research intersects with established IEEE domains such as web application development and software engineering. These conceptual overlaps position NextJS as a foundational programming language framework for scalable and high performance web solutions.
IEEE NextJS Projects - Why Choose Wisen
Wisen supports NextJS Final Year Projects through IEEE aligned web architecture practices, evaluation driven experimentation, and reproducible research structuring for NextJS Projects for Students.
NextJS domain aligned problem formulation
NextJS projects are structured around rendering efficiency, seo performance, and scalability constraints expected in IEEE programming language research.
Evaluation driven experimentation
Wisen emphasizes benchmark based validation, performance profiling, and reproducible experimentation for NextJS applications.
Research grade methodology
Project formulation prioritizes statistical interpretability, rendering pipeline analysis, and methodological clarity rather than framework specific shortcuts.
End to end research structuring
The implementation pipeline supports NextJS research from formulation through validation, enabling publication ready experimental outcomes.
IEEE publication readiness
Projects are aligned with IEEE reviewer expectations, including reproducibility, evaluation rigor, and programming language relevance.

NextJS Projects for Students - IEEE Research Areas
This research area focuses on evaluating latency and throughput of server rendered pages. IEEE studies analyze response stability under traffic variation.
In NextJS Final Year Projects, validation emphasizes reproducibility, load profiling, and benchmark driven comparison.
Research investigates build time and regeneration strategies for scalable content delivery. IEEE literature emphasizes caching efficiency.
In NextJS Projects for Students, evaluation focuses on deployment consistency and reproducible benchmarking.
This area studies route resolution efficiency and navigation latency. IEEE research evaluates consistency across page transitions.
In NextJS Final Year Projects, validation includes routing benchmarks and reproducible experimentation.
Research explores how rendering strategies affect seo metrics. IEEE studies emphasize measurable seo outcomes.
In NextJS Projects for Students, evaluation prioritizes reproducibility and controlled experimentation.
This research area focuses on defining metrics for modern web applications. IEEE literature emphasizes statistical significance.
In Final Year NextJS Projects, evaluation prioritizes reproducibility and controlled metric comparison.
Final Year NextJS Projects - Career Outcomes
Research engineers design and evaluate high performance web applications using NextJS with emphasis on rendering optimization and scalability analysis. IEEE aligned roles prioritize reproducible experimentation and benchmark driven validation.
Skill alignment includes web architecture, performance metrics, and research documentation.
Engineers focus on building scalable user interfaces with optimized rendering pipelines. IEEE oriented work emphasizes performance validation.
Expertise includes routing design, rendering strategies, and reproducible testing.
Developers integrate frontend rendering with backend services using NextJS. IEEE aligned workflows emphasize evaluation consistency.
Skill alignment includes api integration, scalability testing, and reproducible experimentation.
Analysts evaluate page speed, rendering latency, and seo metrics. IEEE research workflows prioritize statistical validation.
Expertise includes profiling analysis, benchmark evaluation, and experimental reporting.
Analysts study NextJS rendering and routing approaches from a methodological perspective. IEEE research roles emphasize comparative evaluation and reproducibility.
Skill alignment includes metric driven analysis, robustness diagnostics, and research reporting.
NextJS Final Year Projects - FAQ
What are some good project ideas in IEEE NextJS Domain Projects for a final year student?
Good project ideas focus on server side rendering applications, scalable web platforms, seo optimized interfaces, and evaluation using IEEE standard metrics.
What are trending NextJS final year projects?
Trending projects emphasize full stack web platforms, server rendered dashboards, and benchmark driven validation across nextjs applications.
What are top NextJS projects in 2026?
Top projects in 2026 focus on reproducible nextjs pipelines, scalable rendering strategies, and statistically validated performance outcomes.
Is the NextJS domain suitable or best for final year projects?
The domain is suitable due to its strong IEEE research relevance, modern web adoption, and well defined evaluation protocols.
Which evaluation metrics are commonly used in nextjs projects?
IEEE aligned research evaluates performance using page load time, seo scores, rendering latency, and cross browser validation.
How is scalability handled in nextjs projects?
Scalability is handled using server side rendering optimization, caching strategies, and evaluation across traffic workloads.
Can nextjs projects be extended into IEEE papers?
Yes, nextjs projects with rigorous evaluation design and architectural novelty are commonly extended into IEEE publications.
What makes a nextjs project strong in IEEE context?
Clear web problem formulation, reproducible experimentation, performance validation, and benchmark driven comparison strengthen IEEE acceptance.
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