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XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters
Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning
Wave Detection and Tracking Within a Rotating Detonation Engine Through Object Detection
Verification of Image-Based Neural Network Controllers Using Generative Models
Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Unmanned Aircraft Systems Airspace Integration: A Game Theoretical Framework for Concept Evaluations
Toward More General Turbulence Models via Multicase Computational-Fluid-Dynamics-Driven Training
Theory of Machine Learning Assisted Structural Optimization Algorithm and Its Application
Terminal Iterative Learning Control for Autonomous Aerial Refueling Under Aerodynamic Disturbances
Temporarily Captured Asteroids as a Pathway to Affordable Asteroid Retrieval Missions
Taxi-Out Time Prediction Model at Charles de Gaulle Airport
Switching Flight Control for Incremental Model-Based Dual Heuristic Dynamic Programming
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings
Stable Optimal Feedback Control for Landers Based on Machine Learning