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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
POSSIBLE APPLICATIONS OF ARTIFICIAL INTELLIGENCE ALGORITHMS IN F-16 AIRCRAFT
UAV-Based Wetland Monitoring: Multispectral and Lidar Fusion with Random Forest Classification
Truck-Drone Delivery Optimization Based on Multi-Agent Reinforcement Learning
Vehicle Detection, Counting, and Classification System based on Video using Deep learning Models
Air Traffic Scenario Evaluation Based on Metric Learning
Multi-Altitude Corn Tassel Detection and Counting Based on UAV RGB Imagery and Deep 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
YOLOv7 Deep Learning Model for Pavement Crack Detection Using Close Range Photogrammetry Dataset.
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
Deep Reinforcement Learning-Based 3D Trajectory Planning for Cellular Connected UAV
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
A Hybrid Machine Learning Based Intrusion Detection System for MIL-STD-1553
YOLO-based Small-scaled Model for On-Shelf Availability in Retail
Dynamic Scene Path Planning of UAVs Based on Deep Reinforcement Learning
Leveraging Artificial Intelligence to Enhance Port Operation Efficiency