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Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning
Warning systems triggered by trains increase flight-initiation times of wildlife
Using open data and deep learning to explore walkability in Shenzhen, China
Using kinematic driving data to detect sleep apnea treatment adherence
Using explainable machine learning to understand how urban form shapes sustainable mobility
Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Transit electrification state of the art: A machine-learning based text mining approach
Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Traffic Safety at German Roundabouts—A Replication Study
Traffic Route Generation and Adaptation Using Case-Based Reasoning
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
Switching Flight Control for Incremental Model-Based Dual Heuristic Dynamic Programming
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Simultaneous Learning Optimization of Hamiltonian Systems and Trajectory Tracking Around an Asteroid
Simulation-driven design of a fast monohull
Short-term electric vehicle battery swapping demand prediction: Deep learning methods
Sharing behavior in ride-hailing trips: A machine learning inference approach
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry
Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals
Road identification in monocular color images using random forest and color correlogram
Revisiting residential self-selection and travel behavior connection using a double machine learning
Revealing influences on carsharing users’ trip distance in small urban areas
Research on Intelligent Decision Based on Compound Traffic Field
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys
Reinforcement Learning-based Traffic Control: Mitigating the Adverse Impacts of Control Transitions
Problems Encountered during Implementation of the Backpropagation
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning
Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning