Showing 1 - 20 results of 11,846 for search '(( data model algorithm ) OR ((( develop based algorithm ) OR ( element method algorithm ))))', query time: 0.46s Refine Results
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    Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

    Published 2024
    “…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”
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    Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

    Published 2024
    “…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”
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    Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

    Published 2025
    “…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”
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    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 2024
    “…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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    Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx by Xinying Yu (16400811)

    Published 2025
    “…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…”
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    Types of machine learning algorithms. by Md. Merajul Islam (12646837)

    Published 2024
    “…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. 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.…”
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