Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning
Deep Self-Supervised Learning Models for Automotive Systems
Autonomous Quadcopter for Building Construction Monitoring
Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
THC Concentration Estimation Model using FTIR Spectrum
A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction
Reinforcement Learning Technique for Parameterization in Powertrain Controls
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
No Cost Autonomous Vehicle Advancements in CARLA through ROS