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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
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Verification of Image-Based Neural Network Controllers Using Generative Models
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Enabling Limited Resource-Bounded Disjunction in Scheduling
Journal of Aerospace Information Systems 2021 Year-End Review