Semi-Supervised Active Learning for Anomaly Detection in Aviation
Introduction to the Virtual Collection on Machine Learning in Aerospace
Book Review: Matrix Methods: Applied Linear Algebra and Sabermetrics
Sensor Fault Detection in Smart Extraterrestrial Habitats Using Unsupervised Learning
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Scalable Projection-Based Reduced-Order Models for Large Multiscale Fluid Systems
Aerodynamic Identification and Control Law Design of a Missile Using Machine Learning
Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Mathematics-Informed Neural Network for Acoustic Scattering by Parallel Plates
Run Time Assured Reinforcement Learning for Safe Satellite Docking
Designing Low-Thrust Transfers near Earth–Moon via Multi-Objective Reinforcement Learning
Fast Buffet-Onset Prediction and Optimization Method Based on Pretrained Flowfield Prediction Model
Data-Driven Nonintrusive Model-Order Reduction for Aerodynamic Design Optimization
Deep Learning Closure of the Navier–Stokes Equations for Transition-Continuum Flows
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea