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Identification of Driver’s Braking Intention in Cut-In Scenarios
Reinforcement Learning Technique for Parameterization in Powertrain Controls
A camera self-health-maintenance system based on sensor artificial intelligence
Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration
Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Predictive Modeling of Aircraft Dynamics Using Neural Networks
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion
Lane Change Decision Algorithm Based on Deep Q Network for Autonomous Vehicles
Reinforcement learning for robot control using probability density estimations
Game Theory-Based Lane Change Decision-Making Considering Vehicle’s Social Value Orientation
Application of Machine Learning in Generating Load Profile Transitions for a Gear Pair
THC Concentration Estimation Model using FTIR Spectrum
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Human vs Robot Lie Detector: Better working as a team?
Deep Self-Supervised Learning Models for Automotive Systems
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Autonomous Quadcopter for Building Construction Monitoring
A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction
Damage diagnostic technique combining machine learning approach with a sensor swarm
Adult2child: Motion Style Transfer using CycleGANs
Reinforcement Learning Based Parking Space Egress for Autonomous Driving
Predictive Model Development Using Machine Learning for Engine Cranktrain System
Crash Rate Estimation by Aerial Image Analysis
Multi-part Analysis and Techniques for Air Traffic Speech Recognition
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Preliminary evidence of dynamic muscular synergies in human grasping
No Cost Autonomous Vehicle Advancements in CARLA through ROS
Modeling Weather Impact on Ground Delay Programs
Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective
Prediction of Hybrid Electric Bus Speed Using Deep Learning Method
Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy
Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach
Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality