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Congress on Smart Computing Technologies

Proceedings of CSCT 2024, Volume 1

  • Conference proceedings
  • Oct 2025

Overview

Editors:
  1. Mukesh Saraswat

    1. Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, India

  2. Abhishek Rajan

    1. Department of Electrical and Electronics Engineering, National Institute of Technology Sikkim, Ravangla, India

  3. Antorweep Chakravorty

    1. Department of Computer Science and Electrical Engineering, University of Stavanger, Stavanger, Norway

  • Presents research works in the field of smart computing technologies
  • Provides original works presented at CSCT 2024 held in Ravangla, 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 121)

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About this book

This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2024) organized by Soft Computing Research Society (SCRS), held at National Institute of Technology Sikkim from 14 to 15 December 2024. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and human–computer interaction. The book is presented in two volumes

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Editors and Affiliations

  • Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, India

    Mukesh Saraswat

  • Department of Electrical and Electronics Engineering, National Institute of Technology Sikkim, Ravangla, India

    Abhishek Rajan

  • Department of Computer Science and Electrical Engineering, University of Stavanger, Stavanger, Norway

    Antorweep Chakravorty

About the editors

Prof. Mukesh Saraswat's profile: Prof. Mukesh Saraswat is a Professor and Associate Dean (Innovation) at Jaypee Institute of Information Technology (JIIT), Noida, India. Prof. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 20 years of teaching and research experience. He has guided 04 Ph.D. students and presently guiding 04 Ph.D. students. He has published more than 80 journal and conference papers in the areas of image processing, pattern recognition, and soft computing. He was part of a successfully completed project funded by SERB, New Delhi on image analysis. He has been an active member of many organizing committees for various conferences and workshops. He is also a Faculty In-charge of the Jaypee Youth Club at JIIT, Noida. He is also a guest editor of the Array, Journal of Swarm Intelligence, SN Computer Science, and Journal of Intelligent Engineering Informatics. He is one of the General Chairs of the International Conference on Data Science and Applications. He is also an Advisory Board Member of the Journal MethodsX. He is an active member of CSI and SCRS Professional Bodies.

Dr. Abhishek Rajan received B.Tech. degree in electrical and electronics engineering from Biju Patnaik University of Technology Odisha in 2008 and M.Tech. degree in power and energy systems from National Institute of Technology Silchar, Assam-India in 2013. In 2018 he received his Ph.D. in electrical engineering from National Institute of Technology Silchar, Assam, India. From 2008 to 2009 he works as Lecturer in IACR Engineering College Rayagada, Odisha, in the Department of EEE. From 2009 to 2011 he works as Lecturer in Gandhi Engineering College Bhubaneswar, Odisha, in the Department of EEE. From 2013 to 2014 he served as Assistant Professor at Royal Group of Institution Guwahati, Assam. Since 2018, he is serving as Assistant Professor at NIT Sikkim, in the Department of EEE. He as published number of research article in various state-of-the-art literatures. His area of interest includes optima power flow, reactive power management, RE integration.

Dr. Antorweep Chakravorty is Associate Professor at the University of Stavanger. His current research and development work is in the field of applied blockchains, big data, large-scale machine learning, and data privacy. He has an interest in real-world problems, especially development of privacy-enabled data-driven services in smart energy, healthcare, and smart city domains. Antorweep completed his Ph.D. in 2015 with a thesis on Privacy Preserving Big Data Analytics at the University of Stavanger, Norway. Along with having a background in applied research in data-driven solutions, he is also involved in mentoring, teaching, and supervision.

Accessibility Information

PDF accessibility summary

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Congress on Smart Computing Technologies

  • Book Subtitle: Proceedings of CSCT 2024, Volume 1

  • Editors: Mukesh Saraswat, Abhishek Rajan, Antorweep Chakravorty

  • Series Title: Smart Innovation, Systems and Technologies

  • 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. 2025

  • Hardcover ISBN: 978-981-96-6253-1Due: 22 October 2025

  • Softcover ISBN: 978-981-96-6256-2Due: 22 October 2026

  • eBook ISBN: 978-981-96-6254-8Due: 21 October 2025

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XXXVI, 775

  • Number of Illustrations: 65 b/w illustrations, 265 illustrations in colour

Keywords

  • Internet of Things
  • Intelligent Computing
  • Nature Inspired Computing Techniques
  • Data Analytics and Computing
  • Intelligent Vision and Applications
  • Intelligent Vision and Applications
  • Proceedings of CSCT 2024

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