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learning
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keywords:(learning)
Deep learning-based spacecraft relative navigation methods: A survey
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Assessing bikeability with street view imagery and computer vision
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Real-time crash risk prediction on arterials based on LSTM-CNN
Deep neural networks for choice analysis: A statistical learning theory perspective
Neural network based feedback optimal control for pinpoint landers under disturbances
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
Reflections on early lunar base design – From sketch to the first moon landing
Explainable, automated urban interventions to improve pedestrian and vehicle safety
Blade sequencing optimization of aero-engine based on deep reinforcement learning
Real-time demand forecasting for an urban delivery platform
Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Adaptive traffic signal control using approximate dynamic programming
Reward design for driver repositioning using multi-agent reinforcement learning
Optimal Q-laws via reinforcement learning with guaranteed stability
Non-linear associations between the built environment and the physical activity of children
Cooperative pursuit with multiple pursuers based on Deep Minimax Q-learning
Generating bunkering statistics from AIS data: A machine learning approach
Ineffective built environment interventions: How to reduce driving in American suburbs?
Exploring bias in incident investigations: An empirical examination using construction case studies
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Motivational impact of active learning methods in aerospace engineering students
Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Exploring the non-linear associations between spatial attributes and walking distance to transit
Estimating the robustness of public transport schedules using machine learning