- Relative Position Aware Channel Modeling for UAV-Assisted Low-Power Wireless Networks
- Design of E Band Wideband Vialess Vertical Transition Based on BPNN Method
- eduBOS5: A Case Study in Structured SystemVerilog and PPA Optimization for Resource-Constrained RISC-V FPGA Cores
- Novel Preventive Control Technique for Voltage Instability of Modern Power Networks
- SmartGridAI-LSTM: A Sequential Deep Learning Framework for Adaptive Power Flow Regulation in Nano-Grids using Artificial Intelligence
- Prediction of Photovoltaic Output Power using GRU and Weather Data Fusion
- A Novel Wafer-level Glass-based Dual-Polarized Filter-in-Antenna (FiA) Design
- Efficient Full-scenes Place Recognition through Optimized Multimodal Fusion
- Adaptive ProbSparse-Attention with Generative Decoding for Cloud Workload Prediction
- A CMOS Source-Coupled Relaxation Oscillator Achieving Close-in Phase Noise of -72.9 dBc/Hz at a 1 kHz Offset
- Power System Transient Stability Assessment Using Dictionary Learning on PMU Data With Noise
- An Accelerated Back Projection Algorithm via Recursive Spectrum Fusion for High-Speed High-Squint SAR Imaging with Curved Trajectory
- Integrating the Dynamic Models of CE and Nordic Power Grids under Hybrid Real-time Co-simulation
- SExtract-Net: A Lightweight Multi-Scale Feature Fusion Network for Sonar Image Recognition
- Strategic Profit Generation in Age-Based Systems
- Multi-Bionic Fish Collaborative Navigation Simulation Based on Reinforcement Learning
- Topological Vulnerabilities in Electric Distribution Networks: a Deterministic Approach Based on Graph Theory
- Simultaneous Transmit and Receive Antenna Systems with High Isolation
- Iterative Tuning of Power Electronic Controllers by Utilizing Weighted Hankel Singular Values and Eigenvalue Sensitivities
- Comparative Performance Analysis of Waste Materials for Sustainable Electricity Generation
- YOLO Training Made Simple: A Unified Pipeline with Mobile Annotation and Web User Interface
- TAGCL: A Time-Aware Recommendation Method via Graph Contrastive Learning
- Research on the Optimization Algorithm of Computing Power Network Resource Allocation
- Synthetic Data Generation for Time Series Imputation: Comparing the Foundation Model Chronos with Established Methods
- A Framework for Frequency Domain Analysis of Grid-Forming and Grid-Following Converters
- Design of a Coplanar Full Adder using MV5 Gate in Quantum-Dot Technology
- Risk-based approach to the Optimal Transmission Switching problem
- Influence of Centrality Indexes on the Transmission Expansion Planning Problem
- Research on Zero-Knowledge Proof–Integrated Privacy-Preserving Data-Cleaning Methods for Power-Grid Dispatch
- Inertia Challenges of the Portuguese Power System - a Prospective Analysis
- Investigating a Unified 3-D Object Detection Method for Different Multibeam LiDAR
- Aperture Efficiency-Oriented Multi-hop RIS Design for Enhanced Wireless Signal Transmissions
- Hybrid Kalman Filtering and Deep Neural Sequences for Robust Motor Fault Identifications
- Residential-Level Flexibility Aggregation for Voltage Control in Active Distribution Networks
- A Deep Learning Model for Rib Fracture Classification Based on CT Sequence Images
- SkinSense : Feature-Aware Deep Learning for Dermatological Diagnosis
- Greyhound: A Reconfigurable and Extensible RISC-V SoC and eFPGA on IHP SG13G2
- Detection of Cyber Attacks on an Electric Power and Intelligent Control Testbed
- Sustainable Urban Mobility: Real-Time Congestion-Aware Traffic Signal Optimization via Deep Q-Networks
- Impact of Ultrathin TiO 2 Interlayer on the Structure and Properties of All Atomic Layer Deposited TiN/Hf 0.5 Zr 0.5 O 2 /TiN Ferroelectric System
- A Synthesis Technique for Dual-band Bandpass Frequency-Selective Surfaces via Shielded Stepped Impedance Resonators
- Routing and Time-slot Allocation Method in Multi-Domain MTN Network
- Hybrid-supervised Hypergraph-enhanced Transformer for Micro-gesture Based Emotion Recognition
- Progressive Hybrid-Order Hypergraph Framework for Hyperspectral Image Classification
- An Efficient Parallel Single Surrogate Objective Optimization Method for Multi-objective Black-box Problems and its Application in Processor Design
- Lightweight Image Encryption Algorithm Based on Round-Reduced SM4
- An analog baseband quadrature demodulator based on the MDACM for high-precision phase extraction
- A Deep Learning Model Based on Spectrogram Estimation and Wavelet Denoising for Spectrum Sensing in Cognitive Radio Systems
- Construction of Lightweight S-Boxes With Low Boomerang Uniformity
- Design of a High Linearity and High Efficiency Power Amplifier in Ka-Band for CMOS Process
- Covert Communication-Based Coordinated Cyberattacks in Smart Substations
- Federated Ensemble Distillation for Robust Text Processing in Multimodal Knowledge Graph Construction
- Shadow Eye: A Security System Featuring Few-Shot Face Recognition with Siamese Networks and Triplet Loss
- HMLP Network for ECG Classification Based Training Algorithms
- Optimizing a Sustainable Hybrid Renewable Microgrid for EV and Hydrogen Applications
- RPLF-VINS: Robust Point-Line Flow Enhanced Monocular Visual-Inertial SLAM for Low-Light Environments
- The Building as Energy Storage: Sector Coupling for Peak Shaving in Active Energy Communities
- Self-Supervised Contrastive Pre-Training for EEG-Based Recognition via Cross Device Representation Consistency
- Design of a Multilayer Frequency Selective Surface Structure with Air Gaps
- Optimizing RFID Tracking System Reliability in Industry Environments Using DOE
- LeSkill: Structured Skill Learning for Long-Horizon Robotic Manipulation Tasks
- A 1-8 GHz, 190MHz BB BW Mixer-First Receiver With Bootstrapped Mixer Switches Achieving Over 16dBm In-Band IIP 3
- Multiconfigurable RF Codesigned GaAs MMIC Filter/Isolator/Switch (FIS)
- A Smart Disaster Management System for Emergency Hospital Allocation
- An Optimisation Approach for Edge Computing Task Offloading Based on Hermes Algorithm and Reinforcement Learning
- Dynamic Pseudo-Labeling via Large Language Models for Robust Medical Image Segmentation
- Machine Learning Based Inertia Constrained Unit Commitment for Frequency Stability of Renewable Rich Power System
- A Review of UAV-Based Artificial Intelligence Applications in Agriculture
- Learning Style Classification for Adaptive MOOCs: A Data-Driven Study of Omani Learners
- Fixed-Time Event-Triggered Secondary Frequency Control for Islanded Microgrids
- Multi-strategy Improved BKA Algorithm Optimization for Transformer-KELM Rolling Bearings
- Library Resource Retrieval via Joint Feature Embedding and Cross-Modal Hashing Optimization Algorithms
- Efficient Analysis of Electromagnetic Scattering in Large-Scale Finite Periodic Structures Using Characteristic Modes
- Enhanced Grid-forming Operation of Virtual Synchronous Generator Units
- Defending Against Backdoors in Federated Learning by Self Supervised Learning and Anomaly Client Detection
- Noise-Robust Federated Learning via Contrastive Initialization and Sparse Regularization
- RPSR based multi-feature fusion grading for apple
- Real-Time MIMO-SAR Signal Processing System on Multi-Core DSP
- Rate-Splitting Multiple Access for Cell-Free ISAC Massive MIMO systems
- A Transmission-Type 2-bit Wideband Phase Shifter Based on Reconfigurable Microstrip Lines
- Large Side Hole Polymer Optical Fiber Based Surface Plasmon Resonance Sensor
- Diagnosis of Chest CT Scan Images using Proposed CNN, ResNet101 and VGG19 Deep Learning Models
- Low Loss Metal Integrated Suspended Line (MISL) Circuits for RF and Millimeter-Wave Applications (Invited)
- Exploring the Effects of Load Altering Attacks on Load Frequency Control through Python and RTDS
- Fairness-Aware Scheduling for Dynamic Point Selection in CoMP-Based Networks with Hotspots
- Uncertainty-Aware Flexibility of HVAC Systems in Buildings: From Quantification to Provision
- Context-Aware Set Dueling for Dynamic Policy Arbitration
- Direction-of-Arrival Estimation Method Based on Asynchronous Control Reconfigurable Intelligent Surface
- A Machine Learning Framework for Optimizing Public Service Delivery on Social Media in Oman
- Natural Commutation Characteristics of Self-Triggered Low Voltage DC Hybrid Circuit Breakers
- A two-stage Machine Learning based approach for Power Outage Prediction during High-Wind events
- CLIP2LE: A Label Enhancement Fair Representation Method via CLIP
- Adaptive Virtual Inertia to Improve Transient Response of Frequency and Output Active Power When Virtual Synchronous Generator Connected with SMES Coil in DC Side
- Quantum-Secure Edge Computing for Internet of Things : A Cryptgraphic Framework
- Privacy Preserving Aggregation using Noise in Large-scale Energy Networks
- AeroSense-Ensemble: An IoT-Driven Deep Learning Framework for Accurate Air Quality Prediction and Analysis
- Arm Modeling Approaches for Real-Time Simulation of Modular Multilevel Converter
- Mechanism Design and Kinematic Analysis of a Cable-Driven Parallel Robot for Grinding Applications
- Power Reserve: Enhancing EV Charging Accessibility Through Intelligent Slot Management
- Benchmarking Hybrid CNN-BiRNN Video Summarization Against Traditional Methods for Optimal Streaming