1–10 von 10 Ergebnissen
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    Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning

    Puranik, Tejas G. / Rodriguez, Nicolas / Mavris, Dimitri N. | Elsevier | 2020

    Probabilistic REpresentatives Mining (PREM): A Clustering Method for Distributional Data Reduction

    Gao, Zhenyu / Puranik, Tejas G. / Mavris, Dimitri N. | AIAA | 2022

    Randomized Algorithms for Non-Intrusive Parametric Reduced Order Modeling

    Rajaram, Dushhyanth / Perron, Christian / Puranik, Tejas G. et al. | AIAA | 2020

    Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis

    Gao, Zhenyu / Li, Yongchang / Puranik, Tejas G. et al. | AIAA | 2021

    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

    Multi-level aircraft feature representation and selection for aviation environmental impact analysis

    Gao, Zhenyu / Kampezidou, Styliani I. / Behere, Ameya et al. | Elsevier | 2022

    Empirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems

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