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Machine Learning–Aided Synthetic Air Data System for Commercial Aircraft
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Introduction to the Virtual Collection on Machine Learning in Aerospace
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Optimizing inventory control through a data-driven and model-independent framework