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  1. 501

    Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic by Oulad Naoui Noureddine, Sekkoum Mohamed, Cherif El Amine, Ali Alzaed, Meseret Abeje Gedfew, Sherif S. M. Ghoneim, Enas E. Hussein

    Published 2025-05-01
    “…Abstract This work is unique and contributes new knowledge to the field whereas it involves introducing a new method based on coupling two or three stochastic models, analyzing new data represented by drought and flooding risk relationship, and addressing a previously unexplored research question: Can we make a decision regarding future evapotranspiration-flooding risk relationship? …”
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    Barcode medication administration system use and safety implications: a data-driven longitudinal study supported by clinical observation by Kenneth K C Man, Ann Blandford, Rachel Williams, Yogini Jani, Kumud Kantilal

    Published 2025-02-01
    “…This study aimed to explore the barriers and enablers for the successful use of a BCMA system by examining the patterns of medication and patient scanning over time and potential safety implications.Methods Retrospective longitudinal study informed by prospective clinical observations using data extracted from five hospital wards over the first 16 months after implementation to determine trends in medication and patient scanning rates, reasons for non-compliance and scanning mismatch alerts. …”
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    Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions by Nisha Thorakkattu Madathil, Fida K. Dankar, Marton Gergely, Abdelkader Nasreddine Belkacem, Saed Alrabaee

    Published 2025-01-01
    “…Considering the healthcare domain as an example, we define the building blocks of a typical FL healthcare system, including system architecture, federation scale, data partitioning, open-source frameworks, ML models, and aggregation algorithms. …”
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    A unified model for metallic materials reliability data and its application in NIMS metallic materials database (Kinzoku) by Asahiko Matsuda, Masahiko Demura, Masayoshi Yamazaki, Takuya Kadohira, Toshihiro Ashino, Yoshiyuki Furuya, Kota Sawada, Nobutaka Nishikawa

    Published 2025-12-01
    “…The model was shown to be applicable to data from various independent initiatives and is effective in supporting datasets for machine learning. …”
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