五个
发表于 2025-3-21 17:23:20
书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0232394<br><br> <br><br>书目名称Computational Intelligence Methods for Bioinformatics and Biostatistics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0232394<br><br> <br><br>
Hay-Fever
发表于 2025-3-21 22:11:39
Biochemische Individualität und Gichtects showing PLM (mainly restless legs syndrome patients). Despite its many simplifying assumptions—the strongest being the stationarity of the neural processes during night sleep—the model simulations are in remarkable agreement with the polysomnographically recorded data.
入伍仪式
发表于 2025-3-22 00:44:39
https://doi.org/10.1007/978-3-642-94920-3 addition, automatic averaging and aligning of 2D-CNN gradient-based images is applied and shown to improve its biological meaning. The proposed model predicts soft biological brain ageing indicators with a six-class-balanced accuracy of . by using the anagraphic age of 1100 healthy subjects in comparison to their brain scans.
Dendritic-Cells
发表于 2025-3-22 07:15:08
Real-Time Automatic Plankton Detection, Tracking and Classification on Raw Hologram,ideos of raw holograms. Experiments show that our pipeline based on YOLOv5 and SORT is fast (44 FPS) and can accurately detect and identify the plankton among 13 classes (97.6% mAP@0.5, 92% MOTA). Our method can be implemented to detect and count other microscopic objects in raw holograms.
边缘
发表于 2025-3-22 10:52:17
The First , Model of Leg Movement Activity During Sleep,ects showing PLM (mainly restless legs syndrome patients). Despite its many simplifying assumptions—the strongest being the stationarity of the neural processes during night sleep—the model simulations are in remarkable agreement with the polysomnographically recorded data.
interlude
发表于 2025-3-22 15:23:35
,Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brai addition, automatic averaging and aligning of 2D-CNN gradient-based images is applied and shown to improve its biological meaning. The proposed model predicts soft biological brain ageing indicators with a six-class-balanced accuracy of . by using the anagraphic age of 1100 healthy subjects in comparison to their brain scans.
interlude
发表于 2025-3-22 19:34:57
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Mettle
发表于 2025-3-22 21:28:51
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SPURN
发表于 2025-3-23 05:13:07
,Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models,ormation on the place of sampling of each strain. We find that even with such coarse–grained data the dominating transition rates exhibit weak similarities with the most popular, continent–level aggregated, airline passenger flight routes.
音乐会
发表于 2025-3-23 05:51:19
0302-9743 d and selected from 26 submissions, and they focus on bioinformatics, computational biology, health informatics, cheminformatics, biotechnology, biostatistics, and biomedical imaging..978-3-031-20836-2978-3-031-20837-9Series ISSN 0302-9743 Series E-ISSN 1611-3349