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learning
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Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Optimizing inventory control through a data-driven and model-independent framework
Prefetch and Push Method of Flight Information Based on Migration Workflow
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Dynamic Targeting to Improve Earth Science Missions
Prediction of transonic wing buffet pressure based on deep learning
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking
Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning