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Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop
Prediction of Engine-Out Emissions Using Deep Convolutional Neural Networks
Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Clustering-Based Trajectory Prediction of Vehicles Interacting with Vulnerable Road Users
Developing Prediction Based Algorithms for Energy and Exergy Flow
Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case
A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving