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A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
A cooperative machine learning approach for pedestrian navigation in indoor IoT
Predicting the likelihood of airspace user rerouting to mitigate air traffic flow management delay
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
A data-driven hybrid control framework to improve transit performance
Predicting disruptions and their passenger delay impacts for public transport stops
Deep learning based keypoint rejection system for underwater visual ego-motion estimation
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Quantification of model uncertainty in RANS simulations: A review
On the use of Machine Learning and Evidence Theory to improve collision risk management
Machine Learning for Soft Robot Sensing and Control: A Tutorial Study
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings
Design and Development of an Autonomous Car using Object Detection with YOLOv4
Statistical and machine learning approach for planning dial-a-ride systems
Supervised Methods for Fault Detection in Vehicle
Gender differences in active travel among older adults: Non-linear built environment insights
Machine-learning-based Prediction of Gait Events from EMG in Cerebral Palsy Children
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Recent Advancements and Research Challenges in Design and Implementation of Autonomous Vehicles
Task level disentanglement learning in robotics using βVAE
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
Advances in intelligent and autonomous navigation systems for small UAS
A fault tolerant neural network for space-based 3D printing quality assessment
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Composition and source based aerosol classification using machine learning algorithms
Container terminal daily gate in and gate out forecasting using machine learning methods
Design of multiple space debris removal missions using machine learning
Analyzing passenger train arrival delays with support vector regression
Advanced Optimal Control and Applications Involving Critic Intelligence
A gradient boosting method to improve travel time prediction