Overview
- Presents recent research in the field of cloud computing
- Discusses the outcomes of ICOECA 2023, held in Bangalore, India
- Serves as a reference guide for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 673)
Included in the following conference series:
Conference proceedings info: ICOECA 2023.
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Table of contents (64 papers)
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Front Matter
Other volumes
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Expert Clouds and Applications
Keywords
About this book
The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems.
Editors and Affiliations
About the editors
Jeena Jacob is working as Professor in Computer Science and Engineering department at GITAM University, Bangalore, India. She actively participates on the development of the research field by conducting international conferences, workshops, and seminars. She has published many articles in referred journals. She has guest edited an issue for International Journal of Mobile Learning and Organisation. Her research interests include mobile learning and computing.
Selvanayaki Kolandapalayam Shanmugam is currently working as Associate Professor in Department of Mathematics and Computer Science, Ashland University, Ashland, OH, 44805. She had over all 18+ years of Lecturing sessions for theoretical subjects and experimental and instructional procedures for laboratory subjects. She presented more research articles in the National and International conferences and Journals. Her research interest includes image processing, video processing, soft computing techniques,intelligent computing, web application development, object-oriented programming like C++ and Java, scripting languages like VBscript and Javascript, data science, algorithms, data warehousing and data mining, neural networks, genetic algorithms, software engineering, software project management software quality assurance, enterprise resource planning, information systems, and database management systems.
Ivan Izonin (IEEE Member) received the M.Sc. degree in computer science, in 2011, the M.Sc. degree in economic cybernetics, in 2012, and the Ph.D. degree in artificial intelligence, in 2016. He is currently Associate Professor at the Department of Artificial Intelligence, Lviv Polytechnic National University, Ukraine. His main research interests include computational intelligence, high-speed neural-like systems, non-iterative machine learning algorithms, and ensemble learning.
Bibliographic Information
Book Title: Expert Clouds and Applications
Book Subtitle: Proceedings of ICOECA 2023
Editors: I. Jeena Jacob, Selvanayaki Kolandapalayam Shanmugam, Ivan Izonin
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-99-1745-7
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. 2023
Softcover ISBN: 978-981-99-1744-0Published: 02 July 2023
eBook ISBN: 978-981-99-1745-7Published: 01 July 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XXVIII, 900
Number of Illustrations: 98 b/w illustrations, 369 illustrations in colour
Topics: Computational Intelligence, Professional Computing, Big Data, Data Engineering