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A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
UAV-Based Wetland Monitoring: Multispectral and Lidar Fusion with Random Forest Classification
Multi-Altitude Corn Tassel Detection and Counting Based on UAV RGB Imagery and Deep Learning
Vehicle Detection, Counting, and Classification System based on Video using Deep learning Models
Truck-Drone Delivery Optimization Based on Multi-Agent Reinforcement Learning
Air Traffic Scenario Evaluation Based on Metric Learning
A Framework of Grasp Detection and Operation for Quadruped Robot with a Manipulator
A Supervised Reinforcement Learning Algorithm for Controlling Drone Hovering
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Deep Reinforcement Learning-Based 3D Trajectory Planning for Cellular Connected UAV
Intelligent Scheduling Technology of Swarm Intelligence Algorithm for Drone Path Planning
Identification of optimal locations of adaptive traffic signal control using heuristic methods
Distributed Multi-Intersection Traffic Flow Prediction using Deep Learning
Generalized Category Discovery in Aerial Image Classification via Slot Attention
A Hybrid Machine Learning Based Intrusion Detection System for MIL-STD-1553
YOLO-based Small-scaled Model for On-Shelf Availability in Retail
A Robust Strategy for UAV Autonomous Landing on a Moving Platform under Partial Observability
Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning
Reinforcement learning-based autonomous generation technology for product oil tanker loading schemes
Leveraging Artificial Intelligence to Enhance Port Operation Efficiency
Dynamic Scene Path Planning of UAVs Based on Deep Reinforcement Learning
Deep-reinforcement-learning-based hull form optimization method for stealth submarine design