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Generating bunkering statistics from AIS data: A machine learning approach
Adult2child: Motion Style Transfer using CycleGANs
A robust machine learning structure for driving events recognition using smartphone motion sensors
Providing and assessing intelligible explanations in autonomous driving
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
Predictive Modeling of Aircraft Dynamics Using Neural Networks
Damage diagnostic technique combining machine learning approach with a sensor swarm
Gaussian process regression for forecasting battery state of health
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
THC Concentration Estimation Model using FTIR Spectrum
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
The use of machine learning improves the assessment of drug-induced driving behaviour
Automatic Vehicle Detection and Identification using Visual Features
Aircraft air data system fault detection and reconstruction scheme design
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Reinforcement Learning Technique for Parameterization in Powertrain Controls
Driving analytics using smartphones: Algorithms, comparisons and challenges
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Exploring the non-linear associations between spatial attributes and walking distance to transit
Deep Self-Supervised Learning Models for Automotive Systems
Daily Locomotion Recognition and Prediction: A Kinematic Data-Based Machine Learning Approach
Daily locomotion recognition and prediction: A kinematic data-based machine learning approach
Machine Learning in Automotive Data Potential, Analytics Power
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Aircraft taxi time prediction: Feature importance and their implications
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Alighting stop determination using two-step algorithms in bus transit systems
Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
No Cost Autonomous Vehicle Advancements in CARLA through ROS
Evaluation of machine learning methodologies to predict stop delivery times from GPS data