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A Closed-Form Correction for the Spalart–Allmaras Turbulence Model for Separated Flows
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Application of Artificial Neural Networks to Stochastic Estimation and Jet Noise Modeling
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Assessing the Impact of Metrics on the Choice of Prognostic Methodologies
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles
Basic Research Perspective on Quantum Information Science for the Aerospace Community
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Book Review: Matrix Methods: Applied Linear Algebra and Sabermetrics
B-Spline Surface-Based Reduced-Order Modeling of Nonplanar Crack Growth in Structural Digital Twins
Collective Sensitivity of Artificial Hair Sensors to Flow Direction
Common Proper Orthogonal Decomposition-Based Spatiotemporal Emulator for Design Exploration
Database Development and Component Design with Two-Dimensional Trusslike Microstructures
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Data-Driven Image Processing for Onboard Optical Navigation Around a Binary Asteroid
Data-Driven Modeling for Transonic Aeroelastic Analysis
Data-Driven Model to Predict Aircraft Vibration Environment
Data-Driven Nonintrusive Model-Order Reduction for Aerodynamic Design Optimization
Decision Tree– and Random Forest–Based Novel Unsteady Aerodynamics Modeling Using Flight Data
Deep Learning Closure of the Navier–Stokes Equations for Transition-Continuum Flows
Deep Learning for Real-Time Satellite Pose Estimation on Tensor Processing Units
Deep Learning Methods for Reynolds-Averaged Navier–Stokes Simulations of Airfoil Flows
Defect Diagnosis in Solid Rocket Motors Using Sensors and Deep Learning Networks
Detecting Under-Resolved Flow Physics Using Supervised Machine Learning
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Development of Deep Convolutional Neural Network for Structural Topology Optimization
Domain Decomposition Strategy for Combining Nonlinear and Linear Reduced-Order Models
Dual-Input/Single-Output Extremum-Seeking System for Jet Control
Efficient Model Updating Method for System Identification Using a Convolutional Neural Network
Enabling Limited Resource-Bounded Disjunction in Scheduling
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Extraction of Pendulum Model Parameters from Steady-State Slosh Data in Diaphragm Tanks
Fast Buffet-Onset Prediction and Optimization Method Based on Pretrained Flowfield Prediction Model
Fatigue Damage Diagnostics–Prognostics Framework for Remaining Life Estimation in Adhesive Joints
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Generative Adversarial Networks for Inverse Design of Two-Dimensional Spinodoid Metamaterials
Hybrid Learning Approach to Sensor Fault Detection with Flight Test Data
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning