Advances in Computational and Bio-Engineering Proceeding of the Inte
This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the developme
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S. Jyothi · D. M. Mamatha · Suresh Chandra Satapathy · K. Srujan Raju · Margarita N. Favorskaya Editors
Advances in Computational and Bio-Engineering Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1
Learning and Analytics in Intelligent Systems Volume 15
Series Editors George A. Tsihrintzis, University of Piraeus, Piraeus, Greece Maria Virvou, University of Piraeus, Piraeus, Greece Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The main aim of the series is to make available a publication of books in hard copy form and soft copy form on all aspects of learning, analytics and advanced intelligent systems and related technologies. The mentioned disciplines are strongly related and complement one another significantly. Thus, the series encourages cross-fertilization highlighting research and knowledge of common interest. The series allows a unified/integrated approach to themes and topics in these scientific disciplines which will result in significant cross-fertilization and research dissemination. To maximize dissemination of research results and knowledge in these disciplines, the series publishes edited books, monographs, handbooks, textbooks and conference proceedings.
More information about this series at http://www.springer.com/series/16172
S. Jyothi D. M. Mamatha Suresh Chandra Satapathy K. Srujan Raju Margarita N. Favorskaya •
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Advances in Computational and Bio-Engineering Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1
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Editors S. Jyothi Department of Computer Science Sri Padmavati Mahila Visvavidyalayam (Women’s University) Tirupati, Andhra Pradesh, India
D. M. Mamatha Department of BioScience and Sericulture Sri Padmavati Mahila Visvavidyalayam (Women’s University) Tirupati, Andhra Pradesh, India
Suresh Chandra Satapathy School of Computer Engineering KIIT Deemed to be University Bhubaneswar, Odisha, India
K. Srujan Raju Department of Computer Science CMR Technical Campus Hyderabad, Telangana, India
Margarita N. Favorskaya Department of Informatics and Computer Techniques Siberian State Aerospace University Krasnoyarsk, Russia
ISSN 2662-3447 ISSN 2662-3455 (electronic) Learning and Analytics in Intelligent Systems ISBN 978-3-030-46938-2 ISBN 978-3-030-46939-9 (eBook) https://doi.org/10.1007/978-3-030-46939-9 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter develope
