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Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution
Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control
A Hybrid System and Method for Estimating State of Charge of a Battery
Adjoint-Based Model Tuning and Machine Learning Strategy for Turbulence Model Improvement
Vehicle Following Hybrid Control Algorithm Based on DRL and PID in Intelligent Network Environment
“Ease of Driving” Road Classification for Night-time Driving Conditions
Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods
Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach
Prediction of ECN Spray—A Characteristics Using Machine Learning
Multi-detection Head of Point Cloud Based on Sample Feature Grouping
Use of Machine Learning to Predict the Injuries of the Occupant of a Vehicle Involved in an Accident
Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites
Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach
Method and System for Creating Digital Twin of a Sensor for a Vehicle in Real Time
Machine Learning-Aided Management of Motorway Facilities Using Single-Vehicle Accident Data