Practical Implementation of DLinear Neural Networks for State-of-Health Estimation in Lithium-Ion Battery Management Systems
Technical Implementation Framework for Standalone Renewable Energy Systems in Remote Island Communities with Solar PV and DFIG-Based Wind Energy Conversion
Implementation of WaveNet and MiniRocket Deep Learning Models for Real-Time Damage Classification Using Raw Accelerometer Data
Binary-Weighted Current Division Using Precision Resistor Networks for Cost-Effective DAC Applications
A Technical Analysis of Power System Reliability Metrics, Load Shedding Controls, and Grid Resilience Based on the February 2021 Texas Blackout Event
Technical Analysis of System Stability, Control Mechanisms and Regulatory Framework Impact on Power Grid Operations During Large-Scale Disruptions
Experimental Evaluation of a Hierarchical Smart Charging Algorithm Using Hardware-in-the-Loop Setup
Overcoming Inverter-Based Microgrid Protection Challenges Through Increased Short-Circuit Contribution
A Novel Current-Voltage Approach for Scalable and Precise Optimal Power Flow
A Data-Oriented Digital Twin Architecture for Real-Time Cyber-Physical Simulation of Satellite-Enhanced Wide-Area Power Systems
Integrating Data-Oriented Digital Twins to Enable Real-Time Cyber-Physical Simulations of Satellite-Enhanced Power Systems
Advanced Hardware and Control Modifications to Enable High Short-Circuit Current Contribution from Grid-Forming Inverters for Distribution Protection Coordination
Architecture and Methods for Bidirectional Data Flow Between Physical and Virtual Assets in Industrial Power Systems
Implementation Framework for Multi-Modal AI Systems Combining Computer Vision, Anomaly Detection, and Natural Language Processing in Industrial Manufacturing Settings
Exploring the Architectural Foundations, Key Techniques, and Potential Applications of Explainable AI in the Next Generation of Industry
Technical Implementation Guide for TinyissimoYOLO: A Flexible and Fully Quantized Neural Network for Resource-Constrained Microcontrollers
A Novel Direct AC-AC Converter Topology and Control Technique for Low-Speed Induction Motor Drives
Domain-Adaptive Graph Neural Network Architecture for Cross-Domain Knowledge Transfer Between Simulated and Real Bearing Vibration Data
A Technical Framework for Detecting and Mitigating Cyber Threats in Programmable Logic Controller Environments Through Program Analysis, Firmware Validation, and Network Monitoring
Implementation Guide for Matrix Converter-Based Drive Systems with Enhanced Power Quality and Sensorless Control
Technical Implementation Framework for Standalone Renewable Energy Systems in Remote Island Communities with Solar PV and DFIG-Based Wind Energy Conversion
Implementation of Deep Neural Networks for Computationally Efficient Finite Control Set Model Predictive Control (FCS-MPC) with Extended Prediction Horizons in Power Converters
Integrating Silicon Carbide Oscillators and Thermoelectric Generators for Standalone Operation in Harsh Environments
Integrating Silicon Carbide Oscillators and Thermoelectric Generators for High-Temperature, Self-Powered Sensor Platforms
Leveraging Demand Response and Renewable Integration to Reduce Carbon Emissions in Power Systems
Implementation of a Silicon Carbide (SiC) Oscillator Circuit Powered by Thermoelectric Generators for Operation Above 300°C
Practical Implementation of DLinear Neural Networks for State-of-Health Estimation in Lithium-Ion Battery Management Systems
Implementation of a Soft-Switched Trans-Inverse DC/DC Converter with Built-In Transformer for 25V to 400V Conversion
Nash Equilibrium-Based Control Methods for Decentralized Decision Making in Complex Network Systems with Partial Information Exchange
Silicon-Based Beamforming Architecture and System Integration Methodology for Multi-Band Phased Array Development from X-Band to W-Band
Design and Assembly Considerations for 256-Element Dual-Polarized 24-30 GHz Heterogeneously Integrated Phased Array Systems
Leveraging Colosseum, the World's Largest Wireless Network Emulator, to Develop and Test Next-Generation Cellular Networks
Leveraging Containerized Platforms and Kubernetes for Dynamic VNF Orchestration in 5G-NTN Environments
Exploring the Transformative Potential of AI-RAN for Enhanced Network Performance, Intelligent Management, and Innovative Applications
A Novel Partial Characterization Approach to Reduce Measurement Time and Costs
Innovative single-substrate approach leverages multiple resonances to deliver high-performance, low-profile antennas for cellular base stations and user equipment
Implementation of Multi-Layer Perceptron Neural Networks for Real-Time Detection and Classification of Power Quality Disturbances in Three-Phase EV Charging Systems
Advancing Lithium-Ion Battery Prognostics with State-of-the-Art Neural Networks
Exploring Advanced Techniques for Accurate Temperature Estimation in Industrial Applications
A Machine Learning Framework Combining LSTM and Gaussian Process Regression for Accurate Battery Capacity Degradation Forecasting with Uncertainty Quantification
