Editors:
- Presents recent research on intelligent technologies, including computational intelligence and machine learning, big data and data analytics, high-performance computing, network and device security, Internet of Things (IoT), and IoT-based digital ecosystems, and discusses their impact on society and communication
- Presents the proceedings of the Second International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2020), held in Bangkok, Thailand
- Written by experts in the field
Part of the book series: Learning and Analytics in Intelligent Systems (LAIS, volume 21)
Conference series link(s): ICICCT: International Conference on Innovative Computing and Cutting-edge Technologies
Conference proceedings info: ICICCT 2020.
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Table of contents (39 papers)
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Front Matter
About this book
This book aims to bring together Researchers, Scientists, Engineers, Scholars and Students in the areas of computer engineering and information technology, and provides a forum for the dissemination of original research results, new ideas, Research and development, practical experiments, which concentrate on both theory and practices, for the benefit of the society. The book also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer Science and Information Technology in the context of Distributed computing, Big data, High performance computing, Internet-of-Things, and digital pedagogy. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware mechanisms in high performance computing and IoT applications. This book aspires to convey researchers’ experiences, to present excellent result analysis, future scopes, and challenges facing the field of computer science, information technology, telecommunication, and digital pedagogy.
This book aims to attract researchers and practitioners who are working in Information Technology and Computer Science. This book is about basics and high level concepts regarding intelligent computing paradigm, communications, and digital learning process. The book serves as a useful guide for Undergraduates, Postgraduates and Research Scholar in the field of Computer Science, Information Technology, and Electronics Engineering. We believe that this volume not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
Editors and Affiliations
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Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
Margarita N. Favorskaya
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Department of Creative Technologies and Product Design, National Taipei University of Business, Taipei City, Taiwan
Sheng-Lung Peng
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School of Engineering, RMIT University, Bundoora East Campus, Melbourne, Australia
Milan Simic
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Department of Computer Information Systems, Al-Balqa’ Applied University, As-Salt, Jordan
Basim Alhadidi
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Department of Computer Science and Engineering, Global Institute of Management and Technology, Kolkata, India
Souvik Pal
Bibliographic Information
Book Title: Intelligent Computing Paradigm and Cutting-edge Technologies
Book Subtitle: Proceedings of the Second International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2020)
Editors: Margarita N. Favorskaya, Sheng-Lung Peng, Milan Simic, Basim Alhadidi, Souvik Pal
Series Title: Learning and Analytics in Intelligent Systems
DOI: https://doi.org/10.1007/978-3-030-65407-8
Publisher: Springer Cham
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 Switzerland AG 2021
Hardcover ISBN: 978-3-030-65406-1Published: 23 April 2021
Softcover ISBN: 978-3-030-65409-2Published: 23 April 2022
eBook ISBN: 978-3-030-65407-8Published: 21 April 2021
Series ISSN: 2662-3447
Series E-ISSN: 2662-3455
Edition Number: 1
Number of Pages: XXI, 463
Number of Illustrations: 61 b/w illustrations, 176 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Cyber-physical systems, IoT