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Personalized Driver Workload Estimation in Real-World Driving
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
Subway Obstacle Detection System Based on Multi-sensor Data Fusion
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control
A Forward Collision Warning System Using Deep Reinforcement Learning
“Ease of Driving” Road Classification for Night-time Driving Conditions
Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution
Research on Subjective Rating Prediction Method for Ride Comfort with Learning
A Hybrid System and Method for Estimating State of Charge of a Battery
Backseat Driver - Driver Advisory System
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
A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning
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
Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach
Machine Learning for Rocket Propulsion Health Monitoring
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 Approach for Constructing Wet Clutch Torque Transfer Function
Object Detection Method of Autonomous Vehicle Based on Lightweight Deep Learning
Practical Approaches for Detecting DoS Attacks on CAN Network
Brake Pad Life Monitoring System Using Machine Learning
A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop
Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods
Prediction of ECN Spray—A Characteristics Using Machine Learning
Multi-detection Head of Point Cloud Based on Sample Feature Grouping
Intelligent Diagnosis for Fuel Line Fault of Diesel Engine Based on Vibration Signatures
Predictive Maintenance of Automotive Component Using Digital Twin Model
Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning
Machine Learning-Aided Management of Motorway Facilities Using Single-Vehicle Accident Data
Research on Driver Driving Style and Driving Condition Recognition Model Based on SVM and XGBoost
Naturalistic Driving Behavior Analysis under Typical Normal Cut-In Scenarios
Precise Real-Time Factory Diagnostics Via Machine Learning - The RADE Algorithm
Flow Field Data Mining Based on a Compact Streamline Representation
Vehicle Detection Based on Deep Neural Network Combined with Radar Attention Mechanism
Engine Overheating Prediction with Machine Learning Using Gaussian Mixture Model (GMM)