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Medium-term public transit route ridership forecasting: What, how and why? A case study in Lyon
Machine Learning Technologies in Internet of Vehicles
Machine learning for multi-jurisdictional optimal traffic corridor control
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns
Machine learning approach to ship fuel consumption: A case of container vessel
Machine learning approach for spatial modeling of ridesourcing demand
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Machine learning approaches for detection of robot errors in human brain signals
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Learning motion skills for a humanoid robot
Learning efficient haptic shape exploration with a rigid tactile sensor array
Learning continuous human-robot interactions from human-human demonstrations
Latent State-Space Models for Control
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Lane change intent analysis using robust operators and sparse Bayesian learning
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
Interpretable data-driven demand modelling for on-demand transit services
Intelligent System for Railway Joint Diagnostics
Intelligence After Next: Breaking Past AI's Confirmation Bias
In-store shopping trip predictions and impact factors during COVID-19 emergencies
Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps
Ineffective built environment interventions: How to reduce driving in American suburbs?
Individual and synergistic associations among transit allowance, land use, and transit commuting
Imputing trip purposes for long-distance travel
Imputing trip purposes for long-distance travel
Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
How the built environment affects E-scooter sharing link flows: A machine learning approach
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Greenhouse gas emission prediction on road network using deep sequence learning
Gender differences in active travel among older adults: Non-linear built environment insights
Gaussian process regression for forecasting battery state of health
Gaussian Processes in Control: Performance Guarantees through Efficient Learning