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An improved sea lion optimization for workload elasticity prediction with neural networks

  1. TitleAn improved sea lion optimization for workload elasticity prediction with neural networks
    Author Nguyen Binh Minh    SCOPUS    RID    ORCID
    Co-authors Trung Tran Bao

    Nguyen Thieu

    Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Source document International Journal of Computational Intelligence Systems. Vol. 15, no. 1 (2022), art. no. 90
    Languageeng - English
    CountryNL - Netherlands
    Document kindrozpis článkov z periodík (rbx)
    CitationsONG, Pauline - ZAINUDDIN, Zarita. An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction. In Decision Analytics Journal, 2023-03-01, 6, pp. Dostupné na: https://doi.org/10.1016/j.dajour.2023.100188.
    VIDYASRI, S. - SARAVANAN, S. Computer-Aided Diagnosis Model for Lung Diseases Using Sea Lion Optimization with Deep Convolutional Recurrent Neural Network on Chest X-ray Images. In International Journal of Engineering Trends and Technology, 2023-01-01, 71, 10, pp. 60-70. ISSN 23490918. Dostupné na: https://doi.org/10.14445/22315381/IJETT-V71I10P206.
    PRITY, F.S. - UDDIN, K.M.A. - NATH, N. Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects. In Iran Journal of Computer Science. 2023, pp. 1-22. doi: 10.1007/s42044-023-00163-8.
    CategoryADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2022
    Registered inWOS
    Registered inSCOPUS
    Registered inCCC
    DOI 10.1007/s44196-022-00156-8
    article

    article

    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    A
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    202220212.259Q30.492Q2
Number of the records: 1  

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