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Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
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
Real-time demand forecasting for an urban delivery platform
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Human vs Robot Lie Detector: Better working as a team?
Biologically inspired locomotion of compliant robots
Deep Self-Supervised Learning Models for Automotive Systems
SMART HUMAN FOLLOWING BABY STROLLER USING COMPUTER VISION
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Providing and assessing intelligible explanations in autonomous driving
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Proxy experience replay:federated distillation for distributed reinforcement learning
Generating bunkering statistics from AIS data: A machine learning approach
Exploring the non-linear associations between spatial attributes and walking distance to transit
Non-linear associations between the built environment and the physical activity of children
Daily locomotion recognition and prediction: A kinematic data-based machine learning approach
Daily Locomotion Recognition and Prediction: A Kinematic Data-Based Machine Learning Approach
Web Service for Point Cloud Supported Robot Programming Using Machine Learning
Autonomous Quadcopter for Building Construction Monitoring
Aircraft taxi time prediction: Feature importance and their implications
A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction
Gaussian process regression for forecasting battery state of health
The use of machine learning improves the assessment of drug-induced driving behaviour
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Automatic Vehicle Detection and Identification using Visual Features
Damage diagnostic technique combining machine learning approach with a sensor swarm
Machine learning approaches to analysing textual injury surveillance data: A systematic review
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
Adult2child: Motion Style Transfer using CycleGANs
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Local online kernel ridge regression for forecasting of urban travel times