يعرض 41 - 60 نتائج من 332 نتيجة بحث عن '(( binary image based optimization algorithm ) OR ( primary data model optimization algorithm ))', وقت الاستعلام: 1.22s تنقيح النتائج
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    RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …"
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    Construction process of RF. حسب Xini Fang (20861990)

    منشور في 2025
    "…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"
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    Data Sheet 1_TBESO-BP: an improved regression model for predicting subclinical mastitis.pdf حسب Kexin Han (10933209)

    منشور في 2025
    "…The model is based on TBESO (Multi-strategy Boosted Snake Optimizer) and utilizes monthly Dairy Herd Improvement (DHI) data to forecast the status of subclinical mastitis in cows.…"
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    Data used in this study. حسب Qinghua Li (398885)

    منشور في 2024
    "…In the hybrid model of this paper, the choice was made to use the Densenet architecture of CNN models with LightGBM as the primary model. …"
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    Machine learning deployment strategies and schematic illustration of the proposed generative adversarial algorithm for domain adaptation. حسب Aly A. Valliani (13251484)

    منشور في 2022
    "…<p><b>(A)</b> There are four primary methods by which machine learning models can be deployed in a context with distinct data domains: 1) train a model on one domain and deploy it across multiple distinct domains, 2) train multiple bespoke models that are optimized for deployment on individual domains, 3) train and deploy a single global model on all domains, and 4) train a model on one domain and adapt it through technical means to make it performant on a distinct domain. …"
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