- State Space Decomposition of Quantum Dynamical Semigroups
- VisionGraph-FPN: Graph Neural Network-Based Feature Pyramid Network for Robust Pneumonia Detection using Chest X-Ray Medical Image Dataset
- A Hybrid Graph Neural Network-Based Reinforcement Learning Approach for Adaptive Cybersecurity Risk Management in FinTech
- Personalized Federated Learning via Moreau Envelopes for Collaborative Healthcare Data Analysis
- Can Quantum Semantic Communication Intrinsically Exhibit Resilience in 6G Networks?
- Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer Learning
- Wireless Channel Modeling for Viewpoint and Trajectory Planning in Aerial Coverage Exploration
- Dynamic Ontology Construction for High-Dimensional Data Analytics Using Transformer-Based Models
- Design of Artificial Intelligence based Teaching Assistance System for Online "Basic Disaster Rescue Medicine" Courses
- Multi-timescale Load Forecasting Based on Deep Diffusion Modeling
- Research on Real time Scheduling Method of Embedded Operating System Based on Soft PLC Control
- Performance Analysis of Digital Creative Visualization of Visual Images based on Artificial Intelligence Algorithms
- Meta-Learning-Driven Adaptive Codebook Design for Near-Field Communications
- Gradient Boosting Regression Tree with Particle Swarm Optimization Framework for Architectural Design
- Harnessing 1D-CNN for Received Power Prediction in Sub-6 GHz RIS: Part I
- Location-Aided Iterative Beam Search via Learning-based Generative Models
- Towards a Common Understanding of Operational Domain and Operational Design Domain in the Approval Process of Automated Vehicles
- FC-AEN: Fully Convolutional Adaptive Ensemble Network for Automatic Depression Detection
- Reliable Clutter Suppression for Slow-Moving Weak Target Radar Detection
- A Computationally Efficient Neural Network for Sarcasm Detection in News Headlines
- Robust Feedback-Based Quantum Optimization: Analysis of Coherent Control Errors
- Spectrum Sensing in UAV-Enabled Cellular Networks
- DADDNet: A Desert-Aware Deep Learning Approach for Potato Leaf Disease Detection
- CASC: Condition-Aware Semantic Communication with Latent Diffusion Models
- Optimizing I/O for an Exascale Implicit Kinetic Plasma Simulation using the Rabbit Storage System
- Network Simulations for Non-Terrestrial Networks: Overcoming Deployment Challenges and Advancing System Optimization
- A Trustworthy Model with Uncertainty Management for Predicting Vascular Access Dysfunction in Hemodialysis Patients
- Balancing Subjectivity and Objectivity in Network Selection: A Decision-Making Framework Towards Digital Twins
- Overview of ISOBUS implementation for specialty crop machinery
- A Sensing-Based Two-Phase Secure ISAC Framework
- Performance Optimization and Damage Control of Ultralow-Concentration Guar Gum Fracturing Fluids for Tight Sandstone Reservoirs
- Mechanism Design for Battery Swapping in a Heterogeneous Robotic System
- Features Selection: a Systematic Comparison of Traditional, Metaheuristic, Hybrid, and Deep Learning Approaches
- Autonomous Data Quality Monitoring with AI Agents: Integrating ML with Cloud Warehouses and Data Lakes
- A Study on the Impact of New Energy Integration on Power System Communication Network and Its Solution
- Machine learning approach and physiological parameters evaluation: a case study on data acquired by Cinematic Virtual Reality scenarios
- A Comprehensive Study on Electricity Market Clearing and Bidding Strategies Using Nash Equilibrium
- Local Feature Augmented Graph Transformer for Enhanced Industrial Process Fault Diagnosis
- Predicting Consumer Behavior and Preferences in E-Commerce Using Convolutional RNN Techniques
- Electric Vehicle Charging Guidance Strategies Considering the Acceptance Capacity of Distribution Grids
- Exploiting thermal accumulation on sub-ns timescales for tuning potentiation of RRAM
- An Advanced Reaching Law for Sliding Mode Speed Control of Electric Reel Sprinkler Irrigation Machine
- Impacts of Equalization-Enhanced Phase Noise on DSP in Optical Coherent Receivers
- Data-driven Soft Fault Diagnosis for Analog Circuits based on Contrastive Learning
- Recent Trends of Resilient UAV On-Board Vision Processing
- Student Performance Prediction for Adaptive Learning using Improved COOT Optimization Algorithm
- Joint Optimization for ASTARS aided Satellite Communication Networks
- Early Forest Fire Detection and Prevention using Ultra-Low-Power Co-Processors with Convolutional Neural Networks
- Intelligent Topology Optimization via Multi-Stage Contrastive Generative Adversarial Networks
- Bridging the Benchmarking Gap: Performance Evaluation of Popular Kubernates-Based Orchestration Frameworks
- Service Degradation Considering Computing, Communication, and Storage with Resource-time Dimension in Computing Power Network
- Benchmarking Darshan and Recorder for HPC I/O Profiling and Tracing
- Harnessing Thermal Imaging with Hybrid Deep Learning for Early Paddy Disease Detection
- A Machine Learning pipeline for the automated DNA-based classification of Italian olive cultivars: from leaves to olive oil
- Propagation measurements of DVB-T2 in the area of Serres
- Dynamic IRS Allocation for Spectrum-Sharing MIMO Communication and Radar Systems
- Enhanced Language Generation Capabilities of Mistral 7B Using Quantized Parameter Efficient Fine-Tuning with Lora and Rag
- Energy-Efficient 6G Wireless Waveforms: Leveraging Delay-Doppler Alignment Modulation
- Inductance Computation of Submarine Three-Core Cables Based on the Partial Element Equivalent Circuit Method
- An Implementation of Q-Learning Framework for an effective recommendation of ideological and political course resources
- Effect of Gate Bias and Channel Length on Total Dose Effect in FinFET Bulk Silicon Devices
- Characterization of Monostatic Base Stations Sensing Resolution Using 5G Reference Signals
- High Order Harmonic Error Compensation Strategy of Voltage Based on Phase-Locked Loop
- Robust and Secure Computation Offloading and Trajectory Optimization for Multi-UAV MEC Against Aerial Eavesdropper
- Automated Diagnosis of Eight Retinal Diseases from OCT Images Using Deep Learning with Attention Mechanisms
- Enhancing Cybersecurity through Integrated Business Continuity Management and Cyber Threat Intelligence
- Blockchain-Enabled Trustworthy Friend Recommendation via Structural Similarity in Ego Networks
- Towards an Optimal IO500 Configuration: Literature Meets Empirical Evaluation
- Multi-Agent Deep Reinforcement Learning for Energy Efficient RIS-assisted CoMP-NOMA Networks
- Analysis of the Causes and Optimization Methods for Small Current Error Fluctuations in Measurement
- Transient Over-Voltage Caused by Converter Valve Failures in MMC-UPFC System
- Improving the Capacity of LR-FHSS Networks with Robust Successive Interference Cancellation
- Eigenvector Prediction: A Low-Complexity Approach to Channel Prediction in 5G Sub-6 GHz Multiuser Massive MIMO
- The Construction of Intelligent Learning System based on Deep Learning and Personalized Learning Recommendation Algorithm
- Teaching Energy Market Analysis through Real-Time Data Handling Tools
- Federated Learning for Credit Risk Assessment in Distributed Financial Systems using BayesShield with Homomorphic Encryption
- Embedding domain expertise in machine learning-based fault detection development: A collaborative framework
- Distributed Fault Location Monitoring of Power Transmission Lines based on IoT Configuration Tool Development
- Fingerprint-Authenticated Voting System with Real-Time Data Sharing via Android Application
- Hybrid Deep Learning Approach for Heart Disease Prediction using Multi-Head Attention Network and Stacked Long Short-Term Memory
- Research on Intelligent Fault Identification and Power Outage Prediction Algorithm of Power Grid Under Extreme Weather Based on Deep Learning
- AI-Driven NG-RAN Assisted Positioning in 3GPP 5G-Advanced
- Research on the Issues of Motor Losses and Torque Ripple for BLDC Motors
- Grid Connected Single Stage PV System by Using Super Twisting Sliding Mode Controllers
- Multimodal Local Global Interaction Networks for Automatic Depression Severity Estimation
- Load Prediction of Electric Vehicle Charging Station Based on ASC-GCN-LSTM
- Privacy-Preserving Location based on Demand Routing in Manets
- Breaking the Interference Curse in Multi-Target CF-mMIMO ISAC Systems
- Near-Field SWIPT Using XL-MIMO: Power Allocation and Subarray Activation
- A Varactor-Based Reconfigurable Antenna for Beam Steering and Frequency Reconfigurability
- Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-Lane Platoon Reorganization
- Comprehensive Study on Privacy-Preserving with Artificial Intelligence in Internet of Things
- Uniform variance reduced simultaneous inference of time-varying correlation networks
- Additive Manufacturing meets Reconfigurable Intelligent Surfaces: Opportunities and Challenges
- Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentation
- Scalable Microservices Architecture Using Azure Kubernetes Service (AKS)
- Wavelet-Enhanced Multi-scale Swin-Deformable DETR for SAR Ship Detection
- Comparison of BLER in Neural Receivers Utilizing a Novel OFDM Framework System
- Fuzzy Neural Networks for Real-Time Decision Support in Healthcare
- An Enhanced Intelligent Methodology on Packaging Design based using Augmented Reality Technology