- Sea Ice Concentration Prediction for Arctic Shipping: A Transformer-Based Approach with Latent Uncertainty Modeling
- A 300-GHz Broadband High-Output-Power Terahertz Source Based on Low-Q Colpitts Injection-Locked Oscillator
- Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation
- AI-Enhanced Low-Code Workflow Automation: A Case Study in Content Management System
- Novel Distributed Secondary Control for Precise Reactive and Harmonic Power Sharing in Islanded Microgrids with Unified Grid-Forming/Following Inverters using Adaptive Instantaneous Circulating Current Compensation
- Beam-Squint Aware Sparse Techniques for Massive MIMO-OFDM Integrated Sensing and Communication
- Role of AI Technique for Controlling Micro Plastic on Marine Eco System
- Spatial Multiplexing over LOS Channels with Circular Arrays: Analysis and Design
- A Novel False Data Injection Attack Detection Method for Digital Substations
- Framework for Detecting Suspicious Vehicles Movements using Machine Learning Techniques
- Sampled-Data model of primary-secondary frequency control: Stability and optimal operation
- AI-based Intent-Driven Secure System Designer
- An Environmental Incremental Learning Framework for Vision-Aided Beam Prediction in 6G Networks
- Applying Emotion-Cause Entailment for Help-Seeker Guidance in Emotional Support Conversations
- Prediction of PV Power using Ensemble LearningTechniques with Meteorological Data
- A Tool for System Security Design Verification based on Security Patterns
- FPGA-based Embedded Sensor Architecture for High-Speed Data Acquisition Systems
- Design and Validation of a Compact Concentric-Tube Robot for Percutaneous Nephrolithotomy
- Design and Implementation of Embedded Image Processing Chip Based on Lightweight MobileNetV3
- Distribution grid feasibility in near real-time markets: A comparative analysis of power flow models
- Benchmarking Graph Neural Networks for Power Flow Prediction in Distribution Systems
- Mixed Monoesters derived from non-edible Natural Esters as an Alternative dielectric fluid for Oil-filled Transformers
- High-Efficiency L-Band Rectifier Featuring GaN Diode with Low Turn-on Voltage
- Finite-Time Convergent Adaptive Sliding Mode Control for Integration of VSCs into Modernized Microgrids with Parametric and Dynamic Uncertainties
- MDJSCC: Multiscale Features Learning-Based Semantic Communications for Maritime Vessel Networks
- Optimized Parameter Identification and Frequency Control Methods for Misalignment-Tolerant UWPT Systems Based on Primary-Side Feedback
- AeroSense-Ensemble: An IoT-Driven Deep Learning Framework for Accurate Air Quality Prediction and Analysis
- Broadband Multi-Beam Array Based on CTS with ±60° Beam Coverage
- Design of a Flat Passband Filter with Tunable Frequency and Bandwidth Using an Integrated Equalizer-Resonator Architecture
- A 5G Physical Layer Key Generation Scheme Based on Attention-Integrated Autoencoder
- Dynamic Assessment of Soil Resistivity for Enhanced Thermal Management of Underground Medium Voltage Cables
- A Dual-Polarized Pattern-Reconfigurable Antenna for UAV Communication
- Radar Main-lobe Jamming Cancellation via Virtual Array Optimization inspired Waveform Design
- An AI-IoT integrated Smart House Automation using Proximal Policy Optimization
- Ku-Band High-Gain Conformal Array Antenna with Phase Compensation for Radome Applications
- Cloud Identification and Phase Classification by Submillimeter and Infrared Synergistic Observations in the Arctic
- Graph Neural Network-based Unified Beamforming and User Selection for MU-MISO
- Comparative Electrochemical Modelling of PEM Electrolysers for Hydrogen Production
- Explainable DC Optimal Power Flow Decisions
- Dynamic Modeling of Forecast Errors for Electric Consumption
- Dynamic Multi-Stage Phishing Detection Using Machine Learning and LLMs
- Grid Phase Synchronization via Distributed Control
- A comparison of local, cluster-specific and global Transformer models for forecasting electrical loads of individual buildings and substations
- Learning Traffic Anomalies from Generative Models on Real-Time Observations
- Comparative Study on Rerouting Performance between OSPF and IS-IS Based on Hierarchical LAN Model
- Precision Push Services and the Information Cocoon Effect: Impacts and Solutions
- Research on Broadening Frequency Band and Improving Sensitivity of Lower Cross-Talk F-P Cavity Geophone
- Text-Conditional Visual-Language Alignment for Video Captioning
- AI-Powered Ballistic Assistant in Free Fall Object Release Tasks
- An Adaptive Two-Layer Control System Optimization for Buck Converters Using Evolutionary Algorithm
- A Comparative Study of U-Net-Related Networks Under Dental X-Ray
- Frequency-Domain Autofocus Method for High-Squint SAR BP Images
- Laguerre-Based MPC for Real-Time V2G Operation in Distribution Networks
- A Phased Hybrid Optimization Method for Temperature Compensation in Ultrasonic Flowmeter Measurement
- Precision Aqua-Farming: Anticipating Fluctuating Weights of Livestock in Aquaculture using Machine Learning and IoT
- E-band High Efficiency Power Amplifier in 0.10-μm GaAs-pHEMT Process
- Stochastic Tube Model Predictive Control of Medium Voltage Grids with Distributed Resources
- An approach to inertial distribution in power grids by a modularity index
- Assessment of Distributed Generation Placement Based on Hosting Capacity in Distribution Grids
- Precision-Driven MRI Data Recovery: Integrating SAGE Trajectory Optimization with PROPELLER Acquisition
- An Integrated IoT Architecture for Real-Time Detection and Remote Tracking of Dementia Symptoms
- Fault-Tolerant ZVS Push-Pull Converter with Low-Voltage Stress of Secondary Rectifier for Enhanced Reliability
- Kolmogorov–Arnold Transformer Koopman Modeling Approach to Unknown Nonlinear Robotic Systems
- Deep Learning-Empowered Framework for Performance Prediction in IEEE 802.11ah-Based Networks
- A Data-Driven ONU Assignment Strategy for Optimizing GPON Resource Management
- Impact of Inverter-Based Resources on Inertia Provision and RoCoF Limitation
- Bulkhead: an Optimized Privacy-Preserving Neural Network Inference System Design
- Fast Skill Transfer Method for Peg-in-Hole Assembly Tasks Under Varied Visual Conditions
- Agentic AI’s OODA Loop Problem
- Polarization-Multiplexed Optical Neural Network for Simultaneous Amplitude Reconstruction and Edge Detection
- Learning universal knowledge graph embedding for predicting biomedical pairwise interactions
- AssertGPT: LLMs-empowered Assertion-based Verification of Programmable Networks
- Enhancement of Chatbot Conversation for Network Troubleshooting by Combining LLM and System Log Analysis
- A Wireless Data and Power Transfer System Based on Load Modulation
- Accurate Infant Respiratory Monitoring and Apnea Detection System With Time-Domain Enhancement Technique Based on FMCW radar
- Techno-Economic Evaluation of Diesel and Hybrid Propulsion Systems for Tugboats at Ports
- Zero Sequence Line Parameter Estimation Using PMU Data Considering Uncertainty Factors
- A Reflectionless Circularly Polarized Microstrip Antenna Array Based on 90 Degree Hybrid Coupler
- Large-Scale Integration of Electrolyzers into the German Transmission System: A 2030 Scenario
- Experimental Validation of Dynamic Virtual Power Plant Concept using H ∞ Control Techniques
- aFRR Price Evolution and Unequal Effects From Introducing the PICASSO Platform
- Distributed Approaches for Grid Restoration using Grid-Forming Inverters: Status Quo and Feasibility
- MambaPTP: Exploring the Potential of Mamba for Pedestrian Trajectory Prediction
- Exploring Machine Learning Techniques for Fault Classification in Wind Farm Collectors
- Transformer-Based LiDAR-Camera Fusion for Semantic Segmentation
- Refined Prototype Classification Network with Multi-Dimension Feature Embedding for Few-Shot SAR Target Recognition
- A Critical Review of Methods and Validation Techniques for Developing Synthetic Network Models
- Design of Low-profile Tightly Coupled Dipole Array Based on Planar Balun and AMC
- Mechanism Design and Kinematic Analysis of a Cable-Driven Parallel Robot for Grinding Applications
- A hybrid stochastic car-following model based on data-driven and theory–driven method
- Topology-Aware Recognition Framework Based on Ultra-high On/Off Ratio Memristors for Handwritten Digit Recognition
- Model-Hopping Semantic Communication System for a Reliable and Secure Transmission
- MVFusion: Generative Representation Learning with Masked Variational Autoencoders for Multi-Modality Image Fusion
- Charging Scheduling for Electric Bus Fleets Considering Service Continuity
- A Lightweight Multi-Scale Feature Enhancement Network for Real-Time Sementic Segmentation
- Phasor Approximation Models Applicability Limits of Voltage Source Converters
- Parallel Core Decomposition of Temporal Graphs
- A PARAFAC Decomposition Based Direct Tracking Algorithm for Wireless Sensor Networks
- Adaptation of Coverage Enhancement Level Number in NB-IoT Networks
- The Limitations of Net Load as Predictor of Power System Inertia