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learning
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keywords:(learning)
XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters
Wire Databases Generation Using Deep Learning Methods for Rotorcraft Wire Strike Prevention
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
TD3-Based Model Predictive Control for Satellite Formation-Keeping
Taxi-Out Time Prediction Model at Charles de Gaulle Airport
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Small-Data-Driven Multitask Computational Guidance for Constrained Impact
Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Run Time Assured Reinforcement Learning for Safe Satellite Docking
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Reduced-order models for aerodynamic applications, loads and MDO
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Progressive Bayesian Neural Networks
Prefetch and Push Method of Flight Information Based on Migration Workflow
Prediction of transonic wing buffet pressure based on deep learning
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Parareal with a learned coarse model for robotic manipulation
Optimizing inventory control through a data-driven and model-independent framework
Optimal Signal Timing of Single Intersection for Traffic Emission Control
Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles
Neurodynamische Module zur Bewegungssteuerung autonomer mobiler Roboter
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Modeling of aircraft fuel consumption using machine learning algorithms
Minimization of Cable-Net Reflector Shape Error by Target-Approaching and Procedural-Learning Method
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Maintenance Strategies Overlook for Devices Under Operation
Machine Learning Based Approach to a Crane Load Estimation
Machine Learning–Aided Synthetic Air Data System for Commercial Aircraft