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Data Synthesis Methods for Parking-Slot Detection
Anomaly Detection Using Convolutional Neural Network and Generative Adversarial Network
Reinforcement Learning Based Fast Charging of Electric Vehicle Battery Packs
Multi-Objective Bayesian Optimization Supported by Deep Gaussian Processes
Machine Learning Approach to Predict Bead Height and Width in Wire Arc Additive Manufacturing Sample
Vehicle Forward Collision Warning Based on Improved Deep Neural Network
Neural Network Model to Predict the Thermal Operating Point of an Electric Vehicle
Renewal Fuzzy Logic Energy Management System
A Reconfigurable Battery Topology for Cell Balancing
A Methodology for Multi-Objective Design Optimization (MDO) of Automotive Suspension Systems
Intersection Signal Control Based on Speed Guidance and Reinforcement Learning
A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning
Metrics for Machine Learning Models to Facilitate SOTIF Analysis in Autonomous Vehicles
Containerization Approach for High-Fidelity Terramechanics Simulations