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Introduction to the Virtual Collection on Machine Learning in Aerospace
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Verification of Image-Based Neural Network Controllers Using Generative Models
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Enabling Limited Resource-Bounded Disjunction in Scheduling