يعرض 1 - 20 نتائج من 4,077 نتيجة بحث عن '(((( implement learning algorithm ) OR ( elements each algorithm ))) OR ( level using algorithm ))', وقت الاستعلام: 0.35s تنقيح النتائج
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    Supplementary file 1_Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery.docx حسب Veera Narayana Balabathina (22518524)

    منشور في 2025
    "…This study focuses on developing an efficient classification framework for species-level tree mapping in the Hauz Khas Urban Forest, New Delhi, India, using EO-1 Hyperion hyperspectral imagery.…"
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    Supplementary Material for: Implementation of machine learning algorithms to screen for advanced liver fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD): an in-depth explanatory analysis حسب Dabbah S. (19947807)

    منشور في 2024
    "…Background This study aimed to train machine learning algorithms(MLAs) to detect advanced fibrosis(AF) in MASLD patients at the level of primary care setting and to explain the predictions to ensure responsible use by clinicians. …"
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    Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. حسب Matteo Straccamore (15083799)

    منشور في 2025
    "…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i><sub>1</sub> is the technological Complexity sum of all the technology done by <i>e</i><sub>1</sub>. …"
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    Sanitized databases using MLHProtector algorithm. حسب Loan T. T. Nguyen (20660789)

    منشور في 2025
    "…To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …"
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    Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

    منشور في 2024
    "…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"
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