T-Lymphocyte
发表于 2025-3-21 19:18:18
书目名称Artificial Intelligence and Data Mining in Healthcare影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0162189<br><br> <br><br>书目名称Artificial Intelligence and Data Mining in Healthcare读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0162189<br><br> <br><br>
牢骚
发表于 2025-3-22 00:02:09
Lattice Images and Structure Imagesnt of hours awarded to a team of surgeons or a given specialty, the duration of shifts, and the availability of a specific operating room for a specific team. Simulation tests on a typical case using real data are performed by both methods. The results allow us to conclude as to the superiority of t
dysphagia
发表于 2025-3-22 04:07:00
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痛打
发表于 2025-3-22 06:12:23
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inscribe
发表于 2025-3-22 10:10:09
https://doi.org/10.1007/978-3-031-67260-6aging diseases, providing better care which leads to having better outcomes including elimination of unnecessary costs and increasing patient satisfaction..In this work, we focus on one of the main clustering methods of machine learning approaches, namely mixture models. These capable techniques hav
Condense
发表于 2025-3-22 14:55:19
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经典
发表于 2025-3-22 18:02:43
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耕种
发表于 2025-3-23 01:03:42
Optimized Medical Image Compression for Telemedicine Applications,and normalized correlation coefficient (NCC) are quantitative measures used to evaluate the performance of the proposed algorithm and well-known existing medical image compression methods. The results showed that the quality of the reconstructed images using the proposed algorithm is much better tha
COMMA
发表于 2025-3-23 04:58:02
Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature rning of finite generalized inverted Dirichlet (GID) mixture model for clustering medical images data by simultaneously using feature selection and image segmentation. The model allows one to adjust the mixture model parameters, number of components and features weights to tackle the challenge of ov
Alienated
发表于 2025-3-23 06:32:04
Entropy-Based Variational Inference for Semi-Bounded Data Clustering in Medical Applications,aging diseases, providing better care which leads to having better outcomes including elimination of unnecessary costs and increasing patient satisfaction..In this work, we focus on one of the main clustering methods of machine learning approaches, namely mixture models. These capable techniques hav