بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
network algorithm » new algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
network algorithm » new algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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Code.
منشور في 2025"…This study aimed to identify the determinants of C-section delivery and develop an ML-based predictive model using data from the Bangladesh Demographic and Health Survey (BDHS) 2022. …"
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Code and data.
منشور في 2025"…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…"
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Generator network and discriminator network.
منشور في 2025"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"
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Dataset: "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR"
منشور في 2025"…This dataset is repeated for a healthy volunteer and a patient. This data follows the following format:</p><p><br></p><ul><li>Subject-1___healthy-volunteer.zip</li><li><ul><li>ground_truth</li><li><ul><li>Parotid_L_v1.nii</li><li>Parotid_L_v2.nii</li><li>Parotid_L_v3.nii</li><li>Parotid_R_v1.nii</li><li>...…"
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