Skip to main content

Expert Clouds and Applications

Proceedings of ICOECA 2021

  • Conference proceedings
  • © 2022

Overview

  • Presents recent research in the field of cloud computing
  • Discusses the outcomes of ICOECA 2021, 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 209)

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

Access this book

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Table of contents (55 papers)

Keywords

About this book

This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. 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.


Editors and Affiliations

  • Department of Computer Science and Engineering, GITAM School of Technology, GITAM University, Bengaluru, India

    I. Jeena Jacob

  • Electrical Power Engineering, University of South-Eastern Norway, Notodden, Norway

    Francisco M. Gonzalez-Longatt

  • Department of Mathematics and Computer Science, Concordia University Chicago, River Forest, USA

    Selvanayaki Kolandapalayam Shanmugam

  • Department of Publishing Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

    Ivan Izonin

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 Organization. Her research interests include mobile learning and computing.

Francisco M. Gonzalez-Longatt is currently Full Professor in electrical power engineering at Institutt for elektro, IT og kybernetikk, Universitetet i Sørøst-Norge, Norway. His academic qualifications include first class in Electrical Engineering of Instituto Universitario Politécnico de la Fuerza Armada Nacional, Venezuela (1994), Master of Business Administration (Honors) of Universidad Bicentenaria de Aragua, Venezuela (1999), Ph.D. in Electrical Power Engineering from the Universidad Central de Venezuela (2008), Postgraduate Certificate in Higher Education Professional Practice from Coventry University (2013), and Diploma in Leadership and Management (ILM Level 3), Loughborough University (2018). He is Vice-President of Venezuelan Wind Energy Association, Fellow of the Higher Education Academy (UK), Senior Member of the IEEE, Member of The Institution of Engineering and Technology—The IET (UK), and Member of International Council on Large Electric Systems—CIGRE. His research interest includes innovative (operation/control) schemes to optimize the performance of future energy systems.

Selvanayaki Kolandapalayam Shanmugam is currently working as Associate Professor in Computer Science, Concordia University, Chicago, USA. She had over all 15+ years of lecturing sessions for theoretical subjects, experimental and instructional procedure for laboratory subjects. She presented more research articles in the national & 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++, 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, graduated from Lviv Polytechnic National University in 2011 (M.Sc. in Computer Sciences) and Ivan Franko National University of Lviv in 2012 (M.Sc. in Economic Cybernetics). He got his Ph.D. in Artificial Intelligence in 2016. He is currently working as Assistant at Publishing Information Technologies Department, Lviv Polytechnic National University, Lviv, Ukraine. He has published more than 80 publications, including 8 patents for inventions and 1 tutorial. His major research interests are computational intelligence; high-speed neural-like systems; non-iterative machine learning algorithms. Dr. Izonin participated in developing two international Erazmus+ projects – MASTIS and DocHub. He is Technical Committee Member of several international conferences.

Bibliographic Information

Publish with us