Unlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach

A Self Bias-flip Piezoelectric Energy Harvester Array without External Energy Reservoirs achieving 488% Improvement with 4-Ratio Switched-PEH DC-DC Converter

Optimizing Machine Learning Inference Queries for Multiple Objectives

Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses

A review of vision-based road detection technology for unmanned vehicles

Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning

Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm

Maximizing the Potential of Custom RISC-V Vector Extensions for Speeding up SHA-3 Hash Functions

Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach

Improved Wordpcfg for Passwords with Maximum Probability Segmentation

Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles

Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning

Cultivating Researcher-Sensibility in Novice Designers: Exploring Genre-Specific Heuristics for Game Evaluation in a Design Studio

AR-Assisted Assembly in Self-Build Construction with Discrete Components

EMGSense: A Low-Effort Self-Supervised Domain Adaptation Framework for EMG Sensing

Machine learning assisted early anomaly detection of LEDs with spectral power distribution modeling

Adaptive Optimal Flight Control for a Fixed-wing Unmanned Aerial Vehicle using Incremental Value Iteration

Mapping XR Platforms: Analyzing Immersion from the Designer’s Perspective

Fuzzy Logic-Based Online Energy Management System for Residential Microgrids

Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment