1–17 von 17 Ergebnissen
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    Machine-Learning and Physics-Based Tool for Anomaly Identification in Propulsion Systems

    Engelstad, Sean P. / Darr, Samuel R. / Knighton, Talbot A. et al. | AIAA | 2024
    Schlagwörter: Hyperparameter Optimization

    Steady-State Transonic Flowfield Prediction via Deep-Learning Framework

    Immordino, Gabriele / Da Ronch, Andrea / Righi, Marcello | AIAA | 2024
    Schlagwörter: Hyperparameter Optimization

    Data-driven Prediction Method for High-speed Railway EMU Train Front and Rear Car Wheel Tread Defects

    Freier Zugriff
    Wenqi WANG / Dongli SONG / Lin LI et al. | DOAJ | 2024
    Schlagwörter: hyperparameter optimization

    Empirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems

    Rajaram, Dushhyanth / Puranik, Tejas G. / Ashwin Renganathan, S. et al. | AIAA | 2020
    Schlagwörter: Hyperparameter Optimization

    Real-Time Communication Control in Decentralized Autonomous Sensor Networks

    Wei, Hongchuan / LeGrand, Keith A. / Paradise, Andre A. et al. | AIAA | 2022
    Schlagwörter: Hyperparameter Optimization

    Stochastic Optimization of Area Navigation Noise Abatement Arrival and Approach Procedures

    Kendall, Andrew P. / Clarke, John-Paul | AIAA | 2020
    Schlagwörter: Hyperparameter Optimization

    Convolutional Neural Network for Enhancement of Localization in Granular Representative Unit Cells

    Gustafson, Peter A. / Pineda, Evan J. / Ricks, Trenton M. et al. | AIAA | 2023
    Schlagwörter: Hyperparameter Optimization

    Deep Q-Learning for Decentralized Multi-Agent Inspection of a Tumbling Target

    Aurand, Joshua / Cutlip, Steven / Lei, Henry et al. | AIAA | 2024
    Schlagwörter: Hyperparameter Optimization

    Prediction of ship power based on variation in deep feed-forward neural network

    Freier Zugriff
    June-Beom Lee / Myung-Il Roh / Ki-Su Kim | DOAJ | 2021
    Schlagwörter: Hyperparameter optimization

    Sparse Pressure-Based Machine Learning Approach for Aerodynamic Loads Estimation During Gust Encounters

    Chen, Dashuai / Kaiser, Frieder / Hu, JiaCheng et al. | AIAA | 2023
    Schlagwörter: Hyperparameter Optimization

    Fast Predictions of Aircraft Aerodynamics Using Deep-Learning Techniques

    Sabater, Christian / Stürmer, Philipp / Bekemeyer, Philipp | AIAA | 2022
    Schlagwörter: Hyperparameter Optimization

    Neural Networks and Support Vector Regression for the CRJ-700 Longitudinal Dynamics Modeling

    Tondji, Yvan / Ghazi, Georges / Mihaela Botez, Ruxandra | AIAA | 2024
    Schlagwörter: Hyperparameter Optimization

    Predicting the Severity of Runway Excursions from Aviation Safety Reports

    Garcia, João S. D. / Jaedicke, Christian / Leng Lim, Guan et al. | AIAA | 2023
    Schlagwörter: Hyperparameter Optimization

    Gaussian Process Surrogate Model with Composite Kernel Learning for Engineering Design

    Satria Palar, Pramudita / Rizki Zuhal, Lavi / Shimoyama, Koji | AIAA | 2020
    Schlagwörter: Hyperparameter Optimization

    Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes

    Grande, Robert C. / Chowdhary, Girish / How, Jonathan P. | AIAA | 2014
    Schlagwörter: Hyperparameter Optimization

    Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics

    Sudarsanan, Varun S. / Kostiuk, Peter F. | AIAA | 2024
    Schlagwörter: Hyperparameter Optimization