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    Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF by Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, Daniele Cesini

    Published 2025-01-01
    “…Anomaly prediction in time series is crucial for ensuring the stability and security of data centers, especially in scientific contexts such as INFN-CNAF, the National Center for Research and Development in Information and Communication Technology of the National Institute for Nuclear Physics. …”
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    PENGARUH LAMA PENGGUNAAN MULSA DAN DOSIS PUPUK KANDANG TERHADAP PERTUMBUHAN CABAI (Capsilum Annum) SEBAGAI BAHAN PENYUSUN PETUNJUK PRAKTIKUM BIOLOGI KEL... by Zainal Aripin

    Published 2016-12-01
    “…This study aims to make research the effect of duration of use and dose of manure mulch on plant growth chili as the building blocks lab manual.This research was conducted using a "Research and Development" (Research and Development). At this stage of research using Grid Design Divided (RPT) which uses two treatments, use of mulch and manure dose use with penggulangan 3 times, while in the Development stage using the results of research into practical instructions were validated by various experts. …”
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