Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
On Machine-Learning-Aided Two-Scale Solution for Turbulent Fluid Flows
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Physics-Informed Machine Learning Using Low-Fidelity Flowfields for Inverse Airfoil Shape Design
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Local Reduced-Order Modeling and Iterative Sampling for Parametric Analyses of Aero-Icing Problems
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
A Closed-Form Correction for the Spalart–Allmaras Turbulence Model for Separated Flows
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Neural Network with Local Converging Input for Unstructured-Grid Computational Fluid Dynamics
Inverse Estimation and Sensitivity Analysis of Mars 2020 Entry Aeroheating Environments
Application of Artificial Neural Networks to Stochastic Estimation and Jet Noise Modeling
Development of Deep Convolutional Neural Network for Structural Topology Optimization
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic