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The Impact of Travel Time Information on Travelers’ Learning under Uncertainty
Large-scale application of MILATRAS: case study of the Toronto transit network
Learning-based framework for transit assignment modeling under information provision
Learning-based framework for transit assignment modeling under information provision
Learning curve analysis of concentrated photovoltaic systems
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Vehicle Type Classification Using a Semisupervised Convolutional Neural Network
Arguing collaboratively: Argumentative discourse types and their potential for knowledge building
Comparing cities’ cycling patterns using online shared bicycle maps
Comparing cities’ cycling patterns using online shared bicycle maps
Blended Instruction Utilizing Mobile Tools in English Teaching at Colleges of Technology
Stochastic dynamic programming for the energy management of a serial hybrid electric bus
Learning Discriminative Pattern for Real-Time Car Brand Recognition
Discovering urban activity patterns in cell phone data
Discovering urban activity patterns in cell phone data
Air holding problem solving with reinforcement learning to reduce airspace congestion
Automated Detection of Urban Road Manhole Covers Using Mobile Laser Scanning Data
Visual guidance during bicycle steering through narrow lanes: a study in children
Learning-Based Driving Events Recognition and Its Application to Digital Roads
Local Reduced-Order Modeling and Iterative Sampling for Parametric Analyses of Aero-Icing Problems
Self‐reflection, growth goals, and academic outcomes: A qualitative study
The effects of activating prior topic and metacognitive knowledge on text comprehension scores
Traffic Flow Prediction With Big Data: A Deep Learning Approach
Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression
Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies
Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework
Machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction
A Cognitive Control Approach to Communication-Based Train Control Systems
Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points
Inferring Traffic Signal Phases From Turning Movement Counters Using Hidden Markov Models
Vehicle Color Recognition With Spatial Pyramid Deep Learning
Establishing Style-Oriented Driver Models by Imitating Human Driving Behaviors
Modeling Social Influence on Activity-Travel Behaviors Using Artificial Transportation Systems
A Study of Truck Platooning Incentives Using a Congestion Game
Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy