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performance
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keywords:(Machine performance)
Comparison of Machine Learning Models for Data-Driven Aircraft Icing Severity Evaluation
Dynamic Machine Learning Global Optimization Algorithm and Its Application to Aerodynamics
Performance Evaluation of Damaged Blades Using Numerical Simulation and Machine Learning
Black-Box Function Aerodynamic Topology Optimization Algorithm via Machine Learning Technologies
Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles
Machine-Learning-Based Surrogate Modeling of Aerodynamic Flow Around Distributed Structures
Toward More General Turbulence Models via Multicase Computational-Fluid-Dynamics-Driven Training
Assessing the Impact of Metrics on the Choice of Prognostic Methodologies
Incorporating Physical Models for Dynamic Stall Prediction Based on Machine Learning
Local Reduced-Order Modeling and Iterative Sampling for Parametric Analyses of Aero-Icing Problems
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
Aeroengine After-Maintenance Performance Prediction Based on Simplified Mixed Takagi—Sugeno Model
Probabilistic Approach to Conformance Monitoring Using Gaussian Processes
Quantum Speedup for Aeroscience and Engineering