Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
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
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Enabling Limited Resource-Bounded Disjunction in Scheduling
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Federated Learning for Spanish Ports as an Aid to Digitization