GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
Deep Reinforcement Learning for Drone Delivery
A data-driven lane-changing behavior detection system based on sequence learning
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
A cold-start-free reinforcement learning approach for traffic signal control
Real-time traffic incident detection based on a hybrid deep learning model
Deep machine learning for structural health monitoring on ship hulls using acoustic emission method
Graph attention temporal convolutional network for traffic speed forecasting on road networks
Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique
Drones Chasing Drones: Reinforcement Learning and Deep Search Area Proposal
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
DRL-based adaptive signal control for bus priority service under connected vehicle environment
Multiple-UAV Reinforcement Learning Algorithm Based on Improved PPO in Ray Framework
Development of a global road safety performance function using deep neural networks
DLW-Net model for traffic flow prediction under adverse weather
Deep Learning-Based Airspeed Estimation System for a Commercial Aircraft
Deep Reinforcement Learning with Corrective Feedback for Autonomous UAV Landing on a Mobile Platform
Development of a novel engine power model to estimate heavy-duty truck fuel consumption
Electric vehicle charging demand forecasting using deep learning model
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information
Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities
A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
Characterizing parking systems from sensor data through a data-driven approach
Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning
Uplink Throughput Maximization in UAV-Aided Mobile Networks: A DQN-Based Trajectory Planning Method
Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
Vehicle detection and masking in UAV images using YOLO to improve photogrammetric products
Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
Review of intelligent detection and statistical methods of wild animals in UAV aerial photography