Suchergebnisse - "fusion data‐driven algorithm"

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  1. 1

    Degradation trajectory prediction of lithium‐ion batteries based on charging‐discharging health features extraction and integrated data‐driven models von Zheng, Xiujuan, Wu, Fei, Tao, Liujun

    ISSN: 0748-8017, 1099-1638
    Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.06.2024
    Veröffentlicht in Quality and reliability engineering international (01.06.2024)
    “… As one of the key technologies in battery management system, accurate remaining useful life (RUL) prediction is critical to guarantee the reliability and …”
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  2. 2

    Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources von Salcedo-Sanz, S., Ghamisi, P., Piles, M., Werner, M., Cuadra, L., Moreno-Martínez, A., Izquierdo-Verdiguier, E., Muñoz-Marí, J., Mosavi, Amirhosein, Camps-Valls, G.

    ISSN: 1566-2535, 1872-6305
    Veröffentlicht: Elsevier B.V 01.11.2020
    Veröffentlicht in Information fusion (01.11.2020)
    “… •The most important challenges and future lines of the area are highlighted. This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML …”
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  3. 3

    Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources von Salcedo-Sanz, S, Ghamisi, P, Piles, M, Werner, M, Cuadra, L, Moreno-Martínez, A, Izquierdo-Verdiguier, E, Muñoz-Marí, J, Mosavi, Amirhosein, Camps-Valls, G

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 07.12.2020
    Veröffentlicht in arXiv.org (07.12.2020)
    “… This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML …”
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