Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality
Predictive Model Development Using Machine Learning for Engine Cranktrain System
Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach
Static Gesture Recognition in the cabin Based on 3D-TOF and Low Computing Power
Situational Intelligence-Based Vehicle Trajectory Prediction in an Unstructured Off-Road Environment
Machine-Learning-Based Modelling of Electric Powertrain Noise Control Treatments
Modeling Virtual Sensor for Engine Nitrogen Oxides Using Variants of Artificial Neural Networks
Transfer Learning-Based Neural Network for Natural Frequency Prediction of Linear Dynamic Systems
Automotive Hood Design Based on Machine Learning and Structural Design Optimization