Verification of Image-Based Neural Network Controllers Using Generative Models
Machine Learning Reinforced Crystal Plasticity Modeling Under Experimental Uncertainty
Power Setting Estimation of Departing Civil Jet Aircraft Based on Machine Learning
Learning Physics-Based Reduced-Order Models for a Single-Injector Combustion Process
Efficient Model Updating Method for System Identification Using a Convolutional Neural Network
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Fatigue Damage Diagnostics–Prognostics Framework for Remaining Life Estimation in Adhesive Joints
Machine Learning Gyro Calibration Method Based on Attitude Estimation
Noise-Suppressed Temperature Measurement Based on Machine Learning in a Scramjet Combustor
Mesh-Agnostic Decoders for Supercritical Airfoil Prediction and Inverse Design
Database Development and Component Design with Two-Dimensional Trusslike Microstructures
Defect Diagnosis in Solid Rocket Motors Using Sensors and Deep Learning Networks
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Decision Tree– and Random Forest–Based Novel Unsteady Aerodynamics Modeling Using Flight Data
Filtered Integral Formulation of the Sparse Model Identification Problem
Detecting Under-Resolved Flow Physics Using Supervised Machine Learning
Performance Evaluation of Damaged Blades Using Numerical Simulation and Machine Learning