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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
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
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
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models