SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Review of intelligent detection and statistical methods of wild animals in UAV aerial photography
Aircraft AI Static Path Planning on Airport Ground Based on Reinforcement 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
Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors
Eco-driving at signalized intersections: a parameterized reinforcement learning approach
Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022
Real-time traffic incident detection based on a hybrid deep learning model
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
Reinforcement learning-enabled genetic algorithm for school bus scheduling
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
Traffic volume prediction on low-volume roadways: a Cubist approach
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
Short-term prediction of traffic dynamics with real-time recurrent learning algorithms
Consumer learning behavior in choosing electric motorcycles
Social group detection based on multi-level consistent behaviour characteristics
DRL-based adaptive signal control for bus priority service under connected vehicle environment
Integration of machine learning and statistical models for crash frequency modeling
Integrating data-driven and simulation models to predict traffic state affected by road incidents
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
Development of a global road safety performance function using deep neural networks
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Incorporating congestion patterns into spatio-temporal deep learning algorithms