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Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Proxy experience replay:federated distillation for distributed reinforcement learning
Real-time demand forecasting for an urban delivery platform
Human vs Robot Lie Detector: Better working as a team?
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
A robust machine learning structure for driving events recognition using smartphone motion sensors
Providing and assessing intelligible explanations in autonomous driving
Deep Self-Supervised Learning Models for Automotive Systems
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Generating bunkering statistics from AIS data: A machine learning approach
Damage diagnostic technique combining machine learning approach with a sensor swarm
Predictive Modeling of Aircraft Dynamics Using Neural Networks
Gaussian process regression for forecasting battery state of health
A bibliometric analysis and review on reinforcement learning for transportation applications
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Autonomous Quadcopter for Building Construction Monitoring
THC Concentration Estimation Model using FTIR Spectrum
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Aircraft air data system fault detection and reconstruction scheme design
The use of machine learning improves the assessment of drug-induced driving behaviour
Automatic Vehicle Detection and Identification using Visual Features
Adult2child: Motion Style Transfer using CycleGANs
Reinforcement Learning Technique for Parameterization in Powertrain Controls
Crash Rate Estimation by Aerial Image Analysis
Driving analytics using smartphones: Algorithms, comparisons and challenges
Machine learning approaches to analysing textual injury surveillance data: A systematic review
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Exploring the non-linear associations between spatial attributes and walking distance to transit