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Maschinelles Lernen
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Introduction to the Virtual Collection on Machine Learning in Aerospace
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Enabling Limited Resource-Bounded Disjunction in Scheduling
Verification of Image-Based Neural Network Controllers Using Generative Models
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Journal of Aerospace Information Systems 2021 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Machine Learning Strategy for Wall Heat Flux Prediction in Aerodynamic Heating
Journal of Aerospace Information Systems 2020 Year-End Review
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning