Aims and Scope: Computational intelligence serves as a powerful tool to mimic and process human knowledge. This has yielded a spectrum of intelligent computing approaches to optimize multidisciplinary engineering applications. Although ‘Intelligent Computing’ is a developed area of research, many new findings are being evolved by researchers in multitude of applications. It is known that hybridization of computational approaches with traditional engineering methodologies and applications has become a topic of increasing interest for both researchers and developers globally from academia as well as industries. The theme will address advances in theories, concepts (mathematical as well as physical) and methodologies of artificial intelligence, soft computing & machine learning where they could be applied to numerous interdisciplinary domains of engineering as well as bio-medical. The purpose of this special session is to publish high-quality research papers as well as review articles addressing recent advances on computational intelligence and its application in engineering. The theme covers following topics (intelligent algorithms with their prospective applications in any of these domains) but not limited to:
Dr. Vikrant Bhateja
Department of Electronics and Communication Engineering,
Shri Ramswaroop Memorial College of Engineering and Management (SRMCEM),
Lucknow; Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh | India.
Dr. Mufti Mahmud
Dept. of Computer Science,
Nottingham Trent University (NTU), Nottingham | UK
Dr. Carlos M. Travieso-Gonzalez
Signals and Communications Department (DSC),
IDeTIC, University of Las Palmas de Gran Canaria (ULPGC) | Spain
Date | |
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Submission Deadline | 30 May 2022 |
Conference Dates | 24-25 August 2022 - Physical Mode 26-27 August 2022 - Digital Mode |
All WorldS4 2022 presented papers will be published in conference proceedings by Springer LNNS. ISSN: 2367-3370, Series: https://www.springer.com/series/15179
Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago.
All submissions should be made directly at the Session Chair(s) E-Mail ID: bhateja.vikrant@ieee.org / bhateja.vikrant@gmail.com