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Maschinelles Lernen
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Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Journal of Aerospace Information Systems 2020 Year-End Review
Enabling Limited Resource-Bounded Disjunction in Scheduling
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Journal of Aerospace Information Systems 2021 Year-End Review
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Verification of Image-Based Neural Network Controllers Using Generative Models
Machine Learning Strategy for Wall Heat Flux Prediction in Aerodynamic Heating
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Introduction to the Virtual Collection on Machine Learning in Aerospace
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets