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Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
An architectural framework for self-configuration and self-improvement at runtime
A new scheme for vision based flying vehicle detection using motion flow vectors classification
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
ATR applications of minimax entropy models of texture and shape
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
Clustering sensor data for autonomous terrain identification using time-dependency
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
Evolutionary Computation Methods for Helicopter Loads Estimation