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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
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
Federated Learning for Spanish Ports as an Aid to Digitization
Machine Learning Based Approach to a Crane Load Estimation
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Applicability of machine learning in uncertainty quantification of turbulence models
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Verification of Image-Based Neural Network Controllers Using Generative Models
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Enabling Limited Resource-Bounded Disjunction in Scheduling
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations