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A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence
Learning efficient haptic shape exploration with a rigid tactile sensor array
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Classification of Assembly Operations Using Recurrent Neural Networks
A literature review of machine learning algorithms for crash injury severity prediction
Lane Change Decision Algorithm Based on Deep Q Network for Autonomous Vehicles
A robust machine learning structure for driving events recognition using smartphone motion sensors
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Biologically inspired locomotion of compliant robots
A bibliometric analysis and review on reinforcement learning for transportation applications
Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration
Proxy experience replay:federated distillation for distributed reinforcement learning
Evaluation of ML-Based Grasping Approaches in the Field of Automated Assembly
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning
Neural network based feedback optimal control for pinpoint landers under disturbances
Identification of Driver’s Braking Intention in Cut-In Scenarios
Reinforcement Learning Technique for Parameterization in Powertrain Controls
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
Examining optoelectronics in machine vision and applications in industry 4.0
Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Application of algorithmic models of machine learning to the freight transportation process
THC Concentration Estimation Model using FTIR Spectrum
Real-time demand forecasting for an urban delivery platform
Damage diagnostic technique combining machine learning approach with a sensor swarm
Aircraft air data system fault detection and reconstruction scheme design
Human vs Robot Lie Detector: Better working as a team?
Providing and assessing intelligible explanations in autonomous driving
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles