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    Downscaling of GPM satellite precipitation products based on machine learning method in complex terrain and limited observation area

    Wang, Hao / Li, Zhi / Zhang, Tao et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Forecasting total electron content (TEC) using CEEMDAN LSTM model

    Shaikh, Muhammad Muneeb / Butt, Rizwan A. / Khawaja, Attaullah | Elsevier | 2022
    Schlagwörter: Machine learning

    Multi-class classification of ionospheric scintillations using SMOTE-Super Learner ensemble technique

    Srivani, I. / Sridhar, M. / Swamy, K.C.T. et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2

    Merchant, Michael A. | Elsevier | 2023
    Schlagwörter: Machine Learning

    A tropical Atlantic dynamics analysis by combining machine learning and satellite data

    Arnault, Sabine / Thiria, Sylvie / Crépon, Michel et al. | Elsevier | 2020
    Schlagwörter: Machine learning self-organizing map

    Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data

    Aksoy, Samet / Yildirim, Aylin / Gorji, Taha et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake

    Qasim, Muhammad / Shah, Munawar / Shahzad, Rasim et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A fault tolerant neural network for space-based 3D printing quality assessment

    Tang, Jianning / Wu, Xiaofeng | Elsevier | 2024
    Schlagwörter: Machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

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