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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
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
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
Designing Low-Thrust Transfers near Earth–Moon via Multi-Objective Reinforcement Learning
Mathematics-Informed Neural Network for Acoustic Scattering by Parallel Plates
Run Time Assured Reinforcement Learning for Safe Satellite Docking
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
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Prefetch and Push Method of Flight Information Based on Migration Workflow
Data-Driven Model to Predict Aircraft Vibration Environment
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Deep Learning for Real-Time Satellite Pose Estimation on Tensor Processing Units
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Machine Learning Reinforced Crystal Plasticity Modeling Under Experimental Uncertainty
Enabling Limited Resource-Bounded Disjunction in Scheduling
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Machine Learning Approach for Identification of Microstructure–Process Linkages
Data-Driven Image Processing for Onboard Optical Navigation Around a Binary Asteroid
Terminal Iterative Learning Control for Autonomous Aerial Refueling Under Aerodynamic Disturbances
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Verification of Image-Based Neural Network Controllers Using Generative Models
Learning Physics-Based Reduced-Order Models for a Single-Injector Combustion Process