بدائل البحث:
imaging algorithm » making algorithm (توسيع البحث), mining algorithm (توسيع البحث), magic algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
based imaging » based image (توسيع البحث), lapse imaging (توسيع البحث), speed imaging (توسيع البحث)
data finding » path finding (توسيع البحث), data fitting (توسيع البحث), case finding (توسيع البحث)
imaging algorithm » making algorithm (توسيع البحث), mining algorithm (توسيع البحث), magic algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
based imaging » based image (توسيع البحث), lapse imaging (توسيع البحث), speed imaging (توسيع البحث)
data finding » path finding (توسيع البحث), data fitting (توسيع البحث), case finding (توسيع البحث)
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A* Path-Finding Algorithm to Determine Cell Connections
منشور في 2025"…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…"
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Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc
منشور في 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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The run time for each algorithm in seconds.
منشور في 2025"…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…"
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Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams
منشور في 2025"…</li><li>Validation Results on CGHD and DCD_Datasets (Table 6).</li><li>Wiring algorithm evaluation metrics (Table 7).</li></ul><p dir="ltr">Each table is provided in <b>CSV format</b> that maps the data file to the corresponding figure or table in the paper.…"
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Image 2_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.pdf
منشور في 2025"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"
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Image 3_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.pdf
منشور في 2025"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"
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Image 1_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.tiff
منشور في 2025"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"
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