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Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets