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+keyword:(machine performance)
Aeroengine After-Maintenance Performance Prediction Based on Simplified Mixed Takagi—Sugeno Model
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Assessing the Impact of Metrics on the Choice of Prognostic Methodologies
Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles
Black-Box Function Aerodynamic Topology Optimization Algorithm via Machine Learning Technologies
Comparison of Machine Learning Models for Data-Driven Aircraft Icing Severity Evaluation
Dynamic Machine Learning Global Optimization Algorithm and Its Application to Aerodynamics
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
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
Machine-Learning-Based Surrogate Modeling of Aerodynamic Flow Around Distributed Structures
Performance Evaluation of Damaged Blades Using Numerical Simulation and Machine Learning
Probabilistic Approach to Conformance Monitoring Using Gaussian Processes
Quantum Speedup for Aeroscience and Engineering
Toward More General Turbulence Models via Multicase Computational-Fluid-Dynamics-Driven Training