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Introduction to the Virtual Collection on Machine Learning in Aerospace
Book Review: Matrix Methods: Applied Linear Algebra and Sabermetrics
Scalable Projection-Based Reduced-Order Models for Large Multiscale Fluid Systems
Mathematics-Informed Neural Network for Acoustic Scattering by Parallel Plates
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
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Data-Driven Model to Predict Aircraft Vibration Environment
Deep Learning for Real-Time Satellite Pose Estimation on Tensor Processing Units
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Machine Learning Reinforced Crystal Plasticity Modeling Under Experimental Uncertainty
Enabling Limited Resource-Bounded Disjunction in Scheduling
Machine Learning Approach for Identification of Microstructure–Process Linkages
Data-Driven Image Processing for Onboard Optical Navigation Around a Binary Asteroid
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
Power Setting Estimation of Departing Civil Jet Aircraft Based on Machine Learning
Defect Diagnosis in Solid Rocket Motors Using Sensors and Deep Learning Networks
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
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Decision Tree– and Random Forest–Based Novel Unsteady Aerodynamics Modeling Using Flight Data
Machine Learning to Classify Vortex Wakes of Energy Harvesting Oscillating Foils
Detecting Under-Resolved Flow Physics Using Supervised Machine Learning
Performance Evaluation of Damaged Blades Using Numerical Simulation and Machine Learning
Data-Driven Modeling for Transonic Aeroelastic Analysis
Modeling the Surface Pressure Spectrum Beneath Turbulent Boundary Layers in Pressure Gradients
Basic Research Perspective on Quantum Information Science for the Aerospace Community
Wave Detection and Tracking Within a Rotating Detonation Engine Through Object Detection
Real-Time Prediction of Probabilistic Crack Growth with a Helicopter Component Digital Twin
Extraction of Pendulum Model Parameters from Steady-State Slosh Data in Diaphragm Tanks
Generative Adversarial Networks for Inverse Design of Two-Dimensional Spinodoid Metamaterials
Common Proper Orthogonal Decomposition-Based Spatiotemporal Emulator for Design Exploration
Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Hybrid Learning Approach to Sensor Fault Detection with Flight Test Data