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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
Federated Learning for Spanish Ports as an Aid to Digitization
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Modeling of aircraft fuel consumption using machine learning algorithms
Machine Learning Based Approach to a Crane Load Estimation
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Optimizing inventory control through a data-driven and model-independent framework