81–100 von 109 Ergebnissen
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    Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2014
    Schlagwörter: Machine Learning

    Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization

    Muesing, Jeremy / Ahmed, Nisar / Burks, Luke et al. | AIAA | 2021
    Schlagwörter: Automated Machine Learning

    On Machine-Learning-Aided Two-Scale Solution for Turbulent Fluid Flows

    Yao, Min / Chen, Chen | AIAA | 2023
    Schlagwörter: Machine Learning

    Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning

    Na, Kyung-Mi / Lee, Chang-Hun | AIAA | 2023
    Schlagwörter: Machine Learning

    Physics-Informed Machine Learning Using Low-Fidelity Flowfields for Inverse Airfoil Shape Design

    Wong, Benjamin Y. J. / Damodaran, Murali / Khoo, Boo Cheong | AIAA | 2024
    Schlagwörter: Machine Learning

    Image-Driven Intelligent Prediction of Buckling Behavior for Geometrically Imperfect Cylindrical Shells

    Hao, Peng / Duan, Yuhui / Liu, Dachuan et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events

    Bleu Laine, Marc-Henri / Puranik, Tejas G. / Mavris, Dimitri N. et al. | AIAA | 2021
    Schlagwörter: Machine Learning

    Machine-Learning-Enhanced Real-Time Aerodynamic Forces Prediction Based on Sparse Pressure Sensor Inputs

    Duan, Junming / Wang, Qian / Hesthaven, Jan S. | AIAA | 2024
    Schlagwörter: Machine Learning

    Local Reduced-Order Modeling and Iterative Sampling for Parametric Analyses of Aero-Icing Problems

    Zhan, Zhao / Habashi, Wagdi G. / Fossati, Marco | AIAA | 2015
    Schlagwörter: Machine Learning

    Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2016
    Schlagwörter: Machine Learning

    A Closed-Form Correction for the Spalart–Allmaras Turbulence Model for Separated Flows

    Jäckel, Florian | AIAA | 2023
    Schlagwörter: Machine Learning

    Automated Aerial Docking System Using Onboard Vision-Based Deep Learning

    Choi, Andrew Jaeyong / Park, Jeonghwan / Han, Jae-Hung | AIAA | 2022
    Schlagwörter: Machine Learning

    Neural Network with Local Converging Input for Unstructured-Grid Computational Fluid Dynamics

    Ding, Weiming / Huang, Haoxiang / Lee, Tzu-Jung et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Inverse Estimation and Sensitivity Analysis of Mars 2020 Entry Aeroheating Environments

    Alpert, Hannah S. / Saunders, David A. / Mahzari, Milad et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Application of Artificial Neural Networks to Stochastic Estimation and Jet Noise Modeling

    Tenney, Andrew S. / Glauser, Mark N. / Ruscher, Christopher J. et al. | AIAA | 2020
    Schlagwörter: Machine Learning

    Development of Deep Convolutional Neural Network for Structural Topology Optimization

    Seo, Junhyeon / Kapania, Rakesh K. | AIAA | 2022
    Schlagwörter: Machine Learning

    More General Wall Pressure Spectra Models: Combining Feature Engineering with Evolutionary Algorithms

    Shubham, Shubham / Sandberg, Richard D. / Kushari, Abhijit | AIAA | 2024
    Schlagwörter: Machine Learning

    Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications

    Di Mascio, Stefano / Menicucci, Alessandra / Gill, Eberhard et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic

    Sadovsky, A. V. | AIAA | 2014
    Schlagwörter: Machine Learning

    Airspace Sector Redesign Based on Voronoi Diagrams

    Xue, Min | AIAA | 2009
    Schlagwörter: Machine Learning