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learning
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keywords:(learning)
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
Aircraft AI Static Path Planning on Airport Ground Based on Reinforcement Learning
A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
An evacuation guidance model for pedestrians with limited vision
Graph attention temporal convolutional network for traffic speed forecasting on road networks
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Eco-driving at signalized intersections: a parameterized reinforcement learning approach
Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique
Reinforcement learning-enabled genetic algorithm for school bus scheduling
Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors
Real-time traffic incident detection based on a hybrid deep learning model
Traffic volume prediction on low-volume roadways: a Cubist approach
Integration of machine learning and statistical models for crash frequency modeling
Incorporating congestion patterns into spatio-temporal deep learning algorithms
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
DRL-based adaptive signal control for bus priority service under connected vehicle environment
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
Cruise dynamic pricing based on SARSA algorithm
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Prediction of extent of damage in vehicle during crash using improved XGBoost model
Method for automated detection of outliers in crash simulations
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Short-term prediction of traffic dynamics with real-time recurrent learning algorithms
Social group detection based on multi-level consistent behaviour characteristics
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data
SYSTEMS FOR AERIAL SURVEILLANCE AND SECURITY – A STEP FORWARD FOR AIR FORCE ACADEMIES
Consumer learning behavior in choosing electric motorcycles
Predicting network flows from speeds using open data and transfer learning
Driver steering and muscle activity during a lane-change manoeuvre
Swarm Cooperative Navigation Using Centralized Training and Decentralized Execution
Predicting incident duration using random forests