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learning
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keywords:(learning)
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning
Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Dynamic Targeting to Improve Earth Science Missions
The past, present, and future of neural networks for signal processing
Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on -Learning
Prediction of transonic wing buffet pressure based on deep learning
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles
XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner
Autonomous Autorotation of an Unmanned Helicopter Using a Reinforcement Learning Algorithm
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking
Journal of Aerospace Information Systems Year-End Review
Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game
Bridging Reinforcement Learning and Online Learning for Spacecraft Attitude Control
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Journal of Aerospace Information Systems 2021 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Journal of Aerospace Information Systems 2020 Year-End Review
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance
Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat
Generalizing Movements with Information-Theoretic Stochastic Optimal Control
An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Clustering sensor data for autonomous terrain identification using time-dependency