Overview

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.

Full Product Details

Author:   Ravi Bhramaramba ,  Akula Chandra Sekhar
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 0.60cm , Length: 23.50cm
Weight:   1.825kg
ISBN:  

9789811003905

ISBN 10:   9811003904
Pages:   102
Publication Date:   13 May 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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.

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Author Information

Dr. R. Bhramaramba is an Associate Professor in the Department of Information Technology, GITAM University. She received her PhD from JNTU Hyderabad and MS from BITS Pilani. She has published her research contributions in various reputable International Journals. Her research interests are Principal Components Analysis(PCA), Mathematical Analysis to various biological problems. Dr Akula Chandra Sekhar is a Professor & Principal in Sanketika Institute of Technology, Visakhapatnam. He was awarded PhD from Acharya Nagarjuna University for research on investigating drugs for PPAR gamma of diabetes mellitus. His research interests are QSAR studies, research on Diabetes Mellitus.

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