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Titlebook: Database Theory and Application, Bio-Science and Bio-Technology; International Confer Tai-hoon Kim,Hojjat Adeli,Xiaofeng Song Conference pr

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11#
發(fā)表于 2025-3-23 11:59:34 | 只看該作者
SPOTLIGHT: Historicism, theory, and methodints in this paper. This accelerates the process of convergence, and avoids the local minima. The proposed approach has been validated on benchmark datasets, and satisfactory results have been obtained.
12#
發(fā)表于 2025-3-23 15:26:44 | 只看該作者
https://doi.org/10.1057/9780230246898f-defense Forces Central Hospital. The system showed higher sensitivity of 98% and negative predictive value (NPV) of 96% compared to our previous system (sensitivity of 89%, NPV of 83%). The system can be used as a public health measure at points of entry where high sensitivity is most required in order to prevent the spread of the pandemic.
13#
發(fā)表于 2025-3-23 21:38:37 | 只看該作者
14#
發(fā)表于 2025-3-23 23:33:46 | 只看該作者
Contentious Politics in North Americafunctions we build fuzzy decision trees in order to detect the possible active sites. We provide some experimental results of the evaluation of our method. Additionally, our method is compared with several existing methods for protein active sites detection.
15#
發(fā)表于 2025-3-24 02:22:22 | 只看該作者
Reducing the Subjectivity of Gene Expression Data Clustering Based on Spatial Contiguity Analysis,ints in this paper. This accelerates the process of convergence, and avoids the local minima. The proposed approach has been validated on benchmark datasets, and satisfactory results have been obtained.
16#
發(fā)表于 2025-3-24 09:15:58 | 只看該作者
A Novel Non-contact Infection Screening System Based on Self-Organizing Map with K-means Clusteringf-defense Forces Central Hospital. The system showed higher sensitivity of 98% and negative predictive value (NPV) of 96% compared to our previous system (sensitivity of 89%, NPV of 83%). The system can be used as a public health measure at points of entry where high sensitivity is most required in order to prevent the spread of the pandemic.
17#
發(fā)表于 2025-3-24 11:40:40 | 只看該作者
Integrating Inductive Knowledge into the Inference System of Biomedical Informatics,ther feature of our system is the inference engine that can be created automatically. The system is intended to support decision making in biomedical informatics. The general design of our system is, however, appropriate for other domains as well.
18#
發(fā)表于 2025-3-24 14:59:59 | 只看該作者
19#
發(fā)表于 2025-3-24 21:26:55 | 只看該作者
Conference proceedings 2011Conference, FGIT 2011, in Conjunction with GDC 2011, Jeju Island, Korea, in December 2011.The papers presented were carefully reviewed and selected from numerous submissions and focuse on the various aspects of database theory and application, and bio-science and bio-technology.
20#
發(fā)表于 2025-3-25 00:57:34 | 只看該作者
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