大葉大學圖書館 |

Application of computational intelligence to biology[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	570.28563
書名/作者:	Application of computational intelligence to biology/ edited by Ravi Bhramaramba, Akula Chandra Sekhar.
其他作者:	Bhramaramba, Ravi.
出版者:	Singapore : : Springer Singapore :, 2016.
面頁冊數:	ix, 102 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Artificial intelligence - Biological applications.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Computational Biology/Bioinformatics.
標題:	Diabetes.
標題:	Protein Structure.
標題:	Biomedical Engineering.
標題:	Health Informatics.
ISBN:	9789811003912
ISBN:	9789811003905
內容註:	Enhancing the performance of Multi-parameter Patient Monitors by Homogeneous Kernel Maps -- Augmenting the performance of Multi-patient Parameter Monitoring system -- An Efficient Classification Model based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data -- A Comparative Study of Various Minutiae Extraction Methods for Fingerprint Recognition Based on Score Level Fusion -- Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy -- Computational Screening of DrugBank DataBase for Novel Cell Cycle Inhibitors -- Pathway analysis of highly conserved Mitogen Activated Protein Kinases (MAPKs) -- Identification of drug targets from integrated database of diabetes mellitus Genes using Protein-Protein Interactions -- Distributed Data Mining for modeling and prediction of skin condiction in Cosmetic Industry - A Rough Set Theory Approach.
摘要、提要註:	This book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers.
電子資源:	http://dx.doi.org/10.1007/978-981-10-0391-2

Application of computational intelligence to biology[electronic resource] /
Application of computational intelligence to biology[electronic resource] /edited by Ravi Bhramaramba, Akula Chandra Sekhar. - Singapore :Springer Singapore :2016. - ix, 102 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Enhancing the performance of Multi-parameter Patient Monitors by Homogeneous Kernel Maps -- Augmenting the performance of Multi-patient Parameter Monitoring system -- An Efficient Classification Model based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data -- A Comparative Study of Various Minutiae Extraction Methods for Fingerprint Recognition Based on Score Level Fusion -- Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy -- Computational Screening of DrugBank DataBase for Novel Cell Cycle Inhibitors -- Pathway analysis of highly conserved Mitogen Activated Protein Kinases (MAPKs) -- Identification of drug targets from integrated database of diabetes mellitus Genes using Protein-Protein Interactions -- Distributed Data Mining for modeling and prediction of skin condiction in Cosmetic Industry - A Rough Set Theory Approach.

This book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers.

ISBN: 9789811003912

Standard No.: 10.1007/978-981-10-0391-2doiSubjects--Topical Terms:

340377
Artificial intelligence
--Biological applications.

LC Class. No.: QH324.25

Dewey Class. No.: 570.28563

Application of computational intelligence to biology[electronic resource] /
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