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Introduction to the Virtual Collection on Machine Learning in Aerospace
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Federated Learning for Spanish Ports as an Aid to Digitization
Machine Learning Based Approach to a Crane Load Estimation
Modeling of aircraft fuel consumption using machine learning algorithms
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Applicability of machine learning in uncertainty quantification of turbulence models