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XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters
Visual recognition of hexagonal headed bolts by comparing ICA to wavelets
Vibration modeling improves pipeline performance, costs
Verification of Image-Based Neural Network Controllers Using Generative Models
UUV teams, control from a biological perspective
Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Transfer of human control strategy based on similarity measure
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic incident detection using particle swarm optimization
The past, present, and future of neural networks for signal processing
The conditions of student's structuration of knowledge in a virtual language class
Taxi-Out Time Prediction Model at Charles de Gaulle Airport
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Software V&V support by parametric analysis of large software simulation systems
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
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
Robot design for space missions using evolutionary computation
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Research on suspension system based on genetic algorithm and neural network control
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Reduced-order models for aerodynamic applications, loads and MDO
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 vehicle reliability performance using artificial neural networks
Prediction of transonic wing buffet pressure based on deep learning
Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Parareal with a learned coarse model for robotic manipulation