- A Rapid Prototyping Approach for 3D-Printed Horn Antennas in X-Band Applications
- Detection of Autism Spectrum Disorder using Deep Convolutional Generative Adversarial Network
- URL-Based Phishing Attacks Detection Using Machine Learning
- Investing in the Virtual World: Why Digital Twins are the Next Big Opportunity
- Feasibility Study and Practice of Machine Learning-Based Heart Disease Prediction
- Immersive Acoustic Stimulation for Remote Assisted Living: Feedback from Skin Conductance
- Mitigating Crosstalk Delay in CNT Based VLSI Interconnects
- An Ensemble ML Model Design to Classify LOS/NLOS in 5G-NR InF Propagation Environment
- IGBT Junction Temperature Monitoring and State Identification Based on AWG-NN
- Recognizing Train Sand Pipe Based on the Improved PIDNet
- Minimally Invasive Micro Needle Sensors for Plant Growth Analysis in Agrivoltaic Fields
- ChebNet-LSTM-Based Secure Transmission Method in Multi-Cloud Networks
- Web Implementation of Sentiment Analysis for Bulgarian Texts: A Case Study across Domains
- Wireless Sensor Network-Driven Human Intrusion Detection Using RT-DETR for Real-Time Perimeter Protection
- Learning Generalized Medical Image Representation by Decoupled Feature Queries
- Improving Mammography Lesion Classification Based on Transfer Learning with EfficientNet-B0
- Deployment of Optically-Powered Hybrid OWC/RF Systems Towards 6G
- Optimizing Cloud Security with Machine Learning: Predicting and Preventing Vulnerabilities in Distributed Systems
- Generalized Tonic Clonic Seizure Classification Based on Optimized Feature Extraction from Surface Electromyography
- Enhanced Heart Disease Prediction Using Optimized Ensemble Machine Learning Models with Soft Voting
- Hybrid Constitutional Classifiers for Prompt Injection Defense
- User-Centric Comfort Measurement and Energy Optimization: a Pareto-Efficient Approach for a Personalized Recommendation Strategy
- Skin Cancer Detection through Mobile Applications using Artificial Intelligence: Technical Review
- Predictive Maintenance for Water Supply Networks: Advanced Expert System Models for Enhanced Water Resource Management and Monitoring
- Design of Carbon-Based Electromagnetic Absorber Textile Material with DS-ABC Optimization
- ISAC-STAP: Space-time Adaptive Processing for ISAC Systems
- Electrically Tunable Phase Shifter with Fast Response and Improved Phase Shifting Capability per Wavelength Based on Liquid Crystal
- QoS-Guaranteed Robust Routing Based on Maximum Link Available Time in Fanets
- AI-Driven Personalized Learning Systems for Enhancing Educational Outcomes in Data-Driven Environments
- Extra-Large Scale Reconfigurable Refracting Surfaces for High-Speed Railway Networks
- Enhancing Secrecy Energy Efficiency in UAV-RIS Assisted Mobile IoV Networks Through DRL
- Research on Thermal Management of 3D Embedded Microchannel Modules Applied to T/R Module
- Advanced Diagnostic Framework for Liver Disease Identification Utilizing Integrated Ensemble Machine Learning Models
- Three-Phase 12-Step Seven-Level Inverter with Planar Transformers for High-Frequency Applications
- Benchmarks and Testbeds [From The Editor]
- Leukemia White Blood Cell Classification Using DenseNet121 Embeddings and Ensemble Learning
- Unicast-Multicast Cell-Free Massive MIMO: Gradient-Based Resource Allocation
- Application of System in Package Technology in Rf System
- Enhancing SSVEP-Based BCIs Through Using Several Preprocessing and Feature Selection Techniques: A Comparative Study
- Adaptive Gene Selection Based Effective Cancer Diagnosis and Classification Using Metaheuristic Optimization Algorithms and Deep Learning
- The Impact of Climate Change on the Spread of Infectious Diseases Using Predictive Analysis
- Designing in-Memory Random Forest Memristor Crossbar Circuits
- How Naples is Redesigning Urban Life Through Analytics to Improve the Comfort and Well-Being of Citizens
- Secure Data Sharing for Unmanned Aerial Vehicles: A Blockchain Perspective
- AI-Driven Compression and Redundancy Removal Techniques for Real-Time Communication in Healthcare Networks
- An Effective Machine Learning Model for Scam Profile Identification on Instagram using Boosting Classifiers and Neural Networks
- Optimal Location Determination of Electric Vehicle Charging Stations in Trabzon Province Using the Fox Optimizer
- Smart Medicine Vending Machines Using Arduino: AA Comprehensive Analysis of Current Technologies and Future Directions
- Ensuring Security and Privacy in Digital Healthcare System
- The Effect of Selfish Nodes on the Performance of Event-Based Trust Management In VANETS
- Deepfake Detection in the Age of Synthetic Media: A Systematic Review
- Human-In-The-Loop Adaptive Bipartite Tracking Consensus of Networked Euler-Lagrange Systems
- Anti-Malicious ISAC Using Proactive Monitoring
- Metrics for Phonoenterogram Analytics Towards AI Powered Diagnosis of Bowel Diseases: Feasibility Meal Study in a Healthy Subject
- Gradient-Descent-Based STDM-VSIMM Filter for Maneuvering Target Tracking
- A Hybrid Recommender System using Louvain Community Detection in Complex Networks
- Data Privacy in Edge Computing: Securing Solutions for Distributed Systems
- Partial Aggregation for Federated Learning with Differentiated Latency in LEO Satellite Networks
- Monte Carlo Tree Search Optimization for Go Game AI
- Facial Landmark In Emotion Analysis: A Review
- Nanosensing of Hepatitis E Virus in Swine Using Graphene
- Joint Load Balancing of Bandwidth and Security Resources in Optical Satellite Networks
- CONVERGE: A Multi-Agent Vision-Radio Architecture for xApps
- Detection of Multi-Class Hazard Signs and Signs Using YOLO Model
- Unified Channel Estimation for XL-RIS Assisted mmWave MU-MIMO Systems
- Advancing Astronomical Science - Machine Learning-Based Classification of Variable Stars for Scientific Innovation and Research
- Multi-Class Machine Learning Models for Predicting Order Cancellations and Returns in E-Commerce
- An End-to-End Sign Language Translation Pipeline from Static Gestures to English Using T5
- Simulation Research of Psophometric Current of Urban Rail Train Based on Matlab/Simulink
- Malware Classification Using Deep Learning
- Optimizing Spatial Acquisition in Inter-Satellite FSO Links Under Beam jitter
- Cloud Data Security and Intrusion Detection for DDoS Attack using Machine Learning
- Optimizing Heart Attack Detection with Brown-Bear Optimization Algorithm and CNN in Healthcare 4.0
- Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT
- AI-Enhanced Beamforming: Advancements and Challenges in Spatial Audio and Voice Processing
- Smart IoT Air Pollution Monitoring System
- Design of Multi-Mode Digital Frequency Source Based on Embedded System
- A Novel Approach to Explore Internal Cardiac Electrophysiological Pattern under Emotional Stress
- Autoencoder-Based Deep Learning Approach for 3D Spectrum Completion and Prediction
- C-and X-Band .5 \mu\mathrm{m}$ Gaas Phemt Passive Mixers with Optimal Characteristics
- On the Effects of Modeling on the Sim-to-Real Transfer Gap in Twinning the POWDER Platform
- Adaptive Multi-Objective Resource Allocation for Cooperative Control of Networked Agents in Cyber-Physical Systems
- An In-Depth Exploration of Sarcasm Detection Approaches in Twitter Discourse Through Words to Meaning
- Flexible Motion Sensors for Real-Time Monitoring and Assessment of Motor Diseases
- Smart Contract-Based Crowdfunding: Ensuring Security and Transparency with Ethereum
- An Approach to Training and Fine-tuning Large Language Models for Low-Resource Languages
- Energy Minimization for UAV-Aided ISAC in a Cluttered Environment
- Improving Cybersecurity Decision-Making Through Text Summarization Addressing Key Applications and Overcoming Challenges
- Enhancing Interactive Querying with a Multimodal RAG System: Integrating Text, Video, and Document Analysis via LLaMA3
- Hand-Gesture Based Aerial Digital Canvas System Using Deep-Learning Algorithms
- Aranya Chakrabortty [People in Control]
- Enhanced Multi-Objective Quantum-Inspired Computing for Practical Portfolio Optimization
- Adaptive Intrusion Detection Systems: Leveraging Machine Learning for Real-Time Threat Mitigation
- Security-Enhanced AFDM Transmissions Using Integrated Sensing and Communication
- Adaptive Resource Allocation Techniques for Nonorthogonal Multiple Access (NOMA) Systems
- Cities Transition Towards Carbon Neutrality: A Review
- An Over-the-Air Multi-user Tailbiting Code for URLLC
- A Physics-Regularized Multiscale Attention Network for Spatiotemporal Traffic Data Imputation
- Reinforcement Learning Based Dynamic Adaptive Frequency Scaling for O-RAN Energy Saving
- Classification of Mild Cognitive Impairment via Improved Multimodal Convolutional Mixer Model