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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
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Federated Learning for Spanish Ports as an Aid to Digitization
Machine Learning Based Approach to a Crane Load Estimation
Enabling Limited Resource-Bounded Disjunction in Scheduling
Journal of Aerospace Information Systems 2021 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Collaborative robot assisted smart needle placement
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Journal of Aerospace Information Systems 2020 Year-End Review