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Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality
A Hybrid Method for Automotive Entity Recognition
Driver Distraction Detection with a Two-stream Convolutional Neural Network
Simulation of Telemetry Signals of a Car Using Machine Learning
Machine Learning based Operation Strategy for EV Vacuum Pump
Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study
Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy
Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach
Nonlinear Control of a Ground Vehicle using Data-Driven Dynamic Models
Deep Double Q-Learning Method for CAVs Traffic Signal Control
Development & Testing of a Camera-Based Driver Monitoring System
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning
Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning