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Enabling Limited Resource-Bounded Disjunction in Scheduling
Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on -Learning
XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters
Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles
Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Journal of Aerospace Information Systems 2021 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Bridging Reinforcement Learning and Online Learning for Spacecraft Attitude Control
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Parareal with a learned coarse model for robotic manipulation
Maintenance Strategies Overlook for Devices Under Operation
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties