Skip to main content

Intelligent Data Engineering and Analytics

Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021)

  • Conference proceedings
  • © 2022

Overview

  • Presents research works in intelligent data engineering and analytics
  • Provides results of FICTA 2021 held at NIT Mizoram, Aizwal, Mizoram, India
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 266)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. 


This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines. 


Similar content being viewed by others

Keywords

Table of contents (54 papers)

Editors and Affiliations

  • School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India

    Suresh Chandra Satapathy

  • Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Peter Peer

  • College of Computing, Michigan Technological University, Michigan, USA

    Jinshan Tang

  • Shri Ramswaroop Memorial College of Engineering and Management (SRMCEM), Lucknow, India

    Vikrant Bhateja

  • Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Mizoram, Aizawl, India

    Anumoy Ghosh

About the editors

Suresh Chandra Satapathy is a Ph.D. in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 book volumes from Springer LNCS, AISC, LNEE, and SIST Series as Corresponding Editor. He is quite active in research in the areas of swarm intelligence, machine learning, and data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of keynote address and tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals, and also Guest Editor for Arabian Journal of Science and Engg published by Springer.


Dr. Jinshan Tang is currently Professor in the College of Computing at Michigan Technological University. He received his Ph.D. degree from Beijing University of Posts and Telecommunications and postdoctoral training at Harvard Medical School and the National Institute of Health. Dr. Tang’s research covers wide areas related to image processing and imaging technologies. His specific research interests include machine learning, biomedical image analysis and biomedical imaging, biometrics, computer vision, and image understanding. He has obtained more than three million US dollars grants as a PI or Co-PI. He has published more than 110 refereed journals and conference papers. He has also served as Committee Member at various international conferences. He is senior Member of IEEE and Co-Chair of the Technical Committee on Information Assurance and IntelligentMultimedia-Mobile Communications, IEEE SMC society. Dr. Tang serves/served as Editor or Guest Editor of more than 10 journals.


Peter Peer is Full Professor of computer science at the University of Ljubljana, Slovenia, where he heads the Computer Vision Laboratory, coordinates the double degree study program with the Kyungpook National University, South Korea, and serves as Vice-Dean for economic affairs. He received his doctoral degree in computer science from the University of Ljubljana in 2003. Within his post-doctorate, he was an invited researcher at CEIT, San Sebastian, Spain. His research interests focus on biometrics and computer vision. He participated in several national and EU funded R&D projects and published more than 100 research papers in leading international peer-reviewed journals and conferences. He is Co-organizer of the Unconstrained Ear Recognition Challenge and Sclera Segmentation Benchmarking Competition. He serves as Associated Editor ofIEEE Access and IET Biometrics. He is Member of the EAB, IAPR, and IEEE.


Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow.  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis, and recognition. He has around 160 quality publications in various international journals and conference proceedings.  He is Associate Editor of IJSE and IJACI. He has edited more than 30 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal.  


Dr. Anumoy Ghosh is currently serving as Head and Assistant Professor, Department of Electronics and Communication Engineering, National Institute of Technology Mizoram. He did his Ph.D. from IIEST Shibpur, India. His research was in the area of antennas, electromagnetic periodic structures, RF energy scavenging, and microwave passive circuits.He has published 11 journal and international conference papers in various journals with SCI impact factors, SCOPUS index, and also in Conf proceedings of Springer, IEEE, etc. Under his supervision, presently four research scholars are doing research work.



Bibliographic Information

  • Book Title: Intelligent Data Engineering and Analytics

  • Book Subtitle: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021)

  • Editors: Suresh Chandra Satapathy, Peter Peer, Jinshan Tang, Vikrant Bhateja, Anumoy Ghosh

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-981-16-6624-7

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-6623-0Published: 01 March 2022

  • Softcover ISBN: 978-981-16-6626-1Published: 02 March 2023

  • eBook ISBN: 978-981-16-6624-7Published: 28 February 2022

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XVIII, 567

  • Number of Illustrations: 111 b/w illustrations, 189 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Data Engineering, Big Data

Publish with us