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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
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Enabling Limited Resource-Bounded Disjunction in Scheduling
Verification of Image-Based Neural Network Controllers Using Generative Models
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Journal of Aerospace Information Systems 2020 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Journal of Aerospace Information Systems 2021 Year-End Review
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization