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learning
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Review of UAV Obstacle Avoidance Algorithms
Flying Free: A Research Overview of Deep Learning in Drone Navigation Autonomy
A Review on Fatigue Detection and Management for Air Traffic Controllers
Deep adaptive learning for safe and efficient navigation of pedestrian dynamics
Women Writing Portuguese Colonialism in Africa
VEHICLE CLASSIFICATION USING THE CONVOLUTION NEURAL NETWORK APPROACH
A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series
Modelling self-reported driver perspectives and fatigued driving via deep learning
Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning
Deep Learning Architectures for Skateboarder–Pedestrian Surrogate Safety Measures
Prediction of ship power based on variation in deep feed-forward neural network
PLSAV: Parallel loop searching and verifying for loop closure detection
A Sound-based Machine Learning to Predict Traffic Vehicle Density
Deep Q‐network implementation for simulated autonomous vehicle control
Using reinforcement learning to minimize taxi idle times
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
A cold-start-free reinforcement learning approach for traffic signal control
Multiple-UAV Reinforcement Learning Algorithm Based on Improved PPO in Ray Framework
Performance evaluation of mode choice models under balanced and imbalanced data assumptions
Deep Reinforcement Learning with Corrective Feedback for Autonomous UAV Landing on a Mobile Platform
Shipping market forecasting by forecast combination mechanism
Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
A data-driven lane-changing behavior detection system based on sequence learning
Uplink Throughput Maximization in UAV-Aided Mobile Networks: A DQN-Based Trajectory Planning Method
Application of algorithmic models of machine learning to the freight transportation process
Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
Real-time traffic incident detection based on a hybrid deep learning model
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique
Reinforcement learning-enabled genetic algorithm for school bus scheduling
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
DLW-Net model for traffic flow prediction under adverse weather
Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data