- New Results on Memory Sampled-Data Control Design for IT2 Fuzzy Singular Systems With External Disturbance
- Enhancing Data Security and Efficiency in Federated Learning Through Hybrid AES-RSA Encryption
- Local and Global Structure-Guided No-Reference Point Cloud Quality Assessment
- Application of Distributed Optical Fiber Temperature Measurement in Smart Cables
- Enhanced Intraocular Melanoma Detection via Augmented Image Generation and DCGAN Classification
- DMSA-Net: Dual-Domain Multiscale Attentive Network for Robust SAR Ship Detection
- TAIA: Telco Generative AI-powered Multi-Agent Assistant for managing Cloud-Native Networks
- Real-Time Cyber Threats and Unauthorized Access Detection Using Embedded AI
- Vertex Convolution-Based Planar-Dominant Point Cloud Segmentation Algorithm
- Supervised Learning for Enhanced Text Summarization in NLP Systems
- Design and Development of Machine Learning based Digital Resource Platform for Intelligent Control Course Teaching Technique
- A 1.25MSPS 19bit Low-Distortion Low-Noise SAR ADC Suit for BMS Current Sampling
- Research on Interface Adhesive Modification of Ionic Liquids in Electrically Controlled Solid Rocket Motors
- Comprehensive Analysis on Security Challenges in Virtualized Cloud Infrastructure
- Enhancing Second-Life Battery Storage Systems: An Improved Methodology for Soh Estimation and Cell Grading
- Scalable Video Transmissions in Power Division Multiplexing Based IoV Networks
- Latency Analysis of SDR-based Experimental C-RAN / O-RAN Systems
- Improvement and Application of Intelligent Algorithm for urban E-commerce Logistics Distribution Path Planning
- A Review on Underwater Explosion and Its Biological Damage
- Modelling Glacier Dynamics and Sea Level Rise for Future Projections in the Gulf of Alaska
- GenAI for Investment Recommendations Using RSS Feed
- Discrete Reflection Coefficients RIS for Interference Suppression in Multicast Transmissions
- Deep Learning Based Facial Skin Analysis and Product Recommendation
- Multi-Cell Holographic MIMO with Per-RF Chain Power Constraints
- Underwater communication system technologies
- Soft Computing Based Performance Analysis of PV-Wind Hybrid System
- Assessment of Demand Side New Energy Consumption Capacity based on Convolutional Neural Network
- Recycle Items Classification for Waste Management using CNN Models
- Second-Order Adjoint Method for Quantum Optimal Control
- Cooperative Gradient Coding
- Edge-Cloud Hybrid Architecture for Distributed AI Applications
- Dual-Band and Dual Wide-Angle Scanning Heterogeneous Metasurface-Based Antenna Array In Large Frequency Ratio Integrating With Millimeterwave Phased Arrays In Same Aperture
- Entrada to Secure Graph Convolutional Networks
- Sentiment Analysis for Brand Monitoring using Transformer with Bidirectional Long-Short Term Memory
- Design and Development of a Personalized Chinese Vocabulary Learning System using Fine-Tuned DeepSeek Language Models
- P-Band Transmission Coefficient Measurement of Small-Size Planar Transparent Materials
- Improving Sentiment Detection in English Social Media Posts with Gated Recurrent Units and Decision Trees
- A Novel Prediction of Tourism Economic Development Trends based on Machine Learning
- Short-Term Wind Power Output Forecasting Based on ISSA-Optimized CEEMDAN-BILSTM
- ADP: Adaptive Diffusion Policy Energizes Robots Thinking in Both Learning and Practice
- Holo-FAFL: Cross-Modal Feature Augmentation and Latency-Aware Asynchronous Federated Learning for Holographic IoT Systems
- Energy Flow Study of Pure Electric Vehicles under Different Temperature Conditions
- Generative Adversarial Networks for Endoscopic Image Classification
- Brain Tumor Detection Using Extended Optimization Based Multi-Layer Perceptron
- High-Efficiency, Broadside-Radiating, Parasitic Arrays Implemented with Gap-Coupled Periodic Structures Based on Seamlessly Integrated Inverters
- Deep Learning-Based Distributed Remote Source Coding via Information Bottleneck Method: The Parallel Processing Scheme
- Analysis of Online Learning Behavior in Java Programming Design Courses using a Hybrid Machine Learning Approach
- An Enhanced Evaluation of English Teaching Quality based on Explainable Artificial Intelligence Techniques
- FPGA Implementation of Robust Neural Network Channel Estimation for 5G and Beyond Systems
- A Typical Application of Distributed Rooftop Photovoltaic Survey Based on Satellite Remote Sensing in Jiangsu Province
- Uniform Clustering Based Unsupervised Domain Adaptation for Semantic Segmentation
- Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics
- Parallel Processing Method for Feature Extraction of Remote Sensing Impacts
- Segmented Targeted Design and Multi-Objective Optimization of Printed Circuit Heat Exchanger Used for SCO 2 Recuperator
- Low-altitude Obstacle Model Identification Method for Power Transmission Corridor Based on Improved 3D Point Cloud Feature Fusion
- Unravelling Mean-Field Lindblad Equation
- Assessing Investment Risks in Energy Efficiency Projects Using AHP for Group Decision Making
- Anomnet: a Hybrid Framework for Multivariate Time Series Anomaly Detection Using Attention-Augmented State Space Models
- Machine Learning Enabled Hybrid Image Compression With Implicit Neural Representation For Wireless Semantic Communications
- Iterative Optimization of Apriori Algorithm Based on Dynamic Transaction Filtering
- Quantized Feedback-enhanced Large Multimodal Model for V2X Communications
- Analysis of the Testing Law of Temporary Blocking and Turning Pressure Boosting in the Seam
- 5.8GHz Patch Antenna Design for Vehicular Communication Systems
- Fuzzy Logic and Machine Learning Hybrid Model for Influencing Consumer Purchasing Behavior in E-Commerce
- Secrecy Analysis of H-ARQ Based Free-Space Optical Communication Systems
- Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
- An AI-Native Architecture for Intent-Driven Management and Orchestration in 6G Networks
- Fault Voiceprint Recognition Method based on Cross-modal Distillation and Semantic Calibration
- Research on Intelligent Fault Diagnosis Algorithm of Transmission Line Equipment Based on Deep Learning Spatio-Temporal Model and Monitoring Data Fusion
- Active Microwave-Thermographic Signal Reconstruction With Adaptive Polynomial Regression
- Optomechanical Cooling in the Unresolved Sideband Regime Using Coherent Feedback Control
- A Novel Forecasting Framework for the New Energy Vehicle Industry in the Global Trade Ecosystem
- Efficient Encoding and Decoding Strategies for Information Visualization in Algorithm-Driven Visual Communication Design
- Flying-Qubit Gate Control with a Tunable Waveguide Coupler
- Robust Face Recognition via Adaptive Thresholding and Multiple InsightFace Architectures on Customized Datasets
- Enhancing Multi-Label Protein Interaction Prediction via Hypergraph Modeling of Higher-Order Patterns
- Trustworthiness Evaluation of Large Language Models Using Multi-Criteria Decision Making
- Copy-Move Forgery Detection using a Convolutional Neural Network with Channel Attention Module
- Wind Tunnel Test Analysis of Wind Environment of a Large-Span Special-Shaped Roof Structure
- Overcoming Data Scarcity at the Edge: A Federated Learning Approach with GAN-Based Data Augmentation
- APR-FL: Defending Against Hidden Backdoor Attacks With Adaptive Parameter Replacement
- Enhancing Virtual Try-on with Vision Transformers and Multi-Part Segmentation
- Machine Learning-Based LOS/NLOS Identification for UAV-to-Ground Urban Channels: Preliminary Analysis
- Quantifying Disease Severity in Groundnut Plant through UNet3+ and Vision Transformers
- Probing Power and Minimum Rate Maximization for RIS-Aided ISAC System
- Edge-Accelerated Analytics for Encrypted Network Traffic using Optimized Machine Learning
- Robust Urban Navigation for Autonomous Vehicles using Vision based Segmentation Graph Attention and Hierarchical Learning
- Performance Evaluation of HPC Benchmarks on a RISC-V Based Cluster
- Lightweight Resource Exposure Framework for Efficient Service and Resource Orchestration in the Cloud-Edge Continuum
- Flexible Function Embedding for Low-Latency UAV Microservices in Programmable Edge Clouds
- Deep Learning Techniques for Identification of Parkinson’s Disease based on MRI Data: Novel Diagnostic Framework
- Optimal Scheduling of Multi-Energy Complementary Systems Based on an Improved NSGA-II Algorithm
- Compact Clarity: Development of Lightweight Networks for Low-Light Enhancement via Multi-Objective Knowledge Distillation
- Joint Traffic Splitting and Bandwidth Allocation in Dual Connectivity Systems with Statistical Service Guarantee for Immersive Communication
- Full-Chain Intelligent Supply Decision Model and Optimization Algorithm based on Multi-Source Data Fusion
- Trajectory Optimization for UAV-Assisted Communications Based on Hierarchical Reinforcement Learning
- A Linear Programming-Based Optimization Model for Cost-Efficient Regulatory Compliance with Multi-Standard Cybersecurity Frameworks
- Distance-Based Multicast Scheduling for mmWave Networks Leveraging Reflections
- Towards Portable Mental Stress Detection Systems: A TinyML Approach for EEG Analysis
- Chirp Parameters Hopping over Time for Affine Frequency Division Multiplexing with Physical Layer Security