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Introduction to the Virtual Collection on Machine Learning in Aerospace
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
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Verification of Image-Based Neural Network Controllers Using Generative Models
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
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Journal of Aerospace Information Systems 2021 Year-End Review
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Journal of Aerospace Information Systems 2020 Year-End Review