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machine algorithm » matching algorithm (Expand Search), matching algorithms (Expand Search), making algorithm (Expand Search)
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machine algorithm » matching algorithm (Expand Search), matching algorithms (Expand Search), making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc
Published 2025“…Objectives<p>This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data.…”
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Construction of the PRG score index using integrated machine learning algorithms.
Published 2025Subjects: -
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Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code
Published 2025“…The data is stored in JSON format under the following labels:</p><ul><li><b>"kannada text"</b> – Kannada algorithmic statement</li><li><b>"text"</b> – English algorithmic statement</li><li><b>"code"</b> – Expected Python output</li></ul><h4><b>Dataset Highlights: -</b></h4><ul><li><b>Triplet Structure:</b> Kannada algorithmic statements, their English translations, and Python code.…”
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Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption
Published 2025Subjects: -
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Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms
Published 2025“…The model couples and filters 12 molecular fingerprints and 318 descriptors as features, capturing more information about molecular structure and properties. By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …”
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Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip
Published 2025“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …”
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Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx
Published 2025“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …”
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