Computational Intelligence in Analytics and Information Systems: Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021

ISBN 10: 1774911469 / ISBN 13: 9781774911464

Edité par Apple Academic Press, 2023

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N° de réf. du vendeur 26396776016

Détails bibliographiques

• Titre: Computational Intelligence in Analytics and Information Systems: Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021
• Éditeur: Apple Academic Press
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 1774911469
• ISBN à 13 chiffres: 9781774911464
• Reliure: Couverture rigide
• État de l'article: New

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Synopsis

This new volume presents a selection of state-of-the-art technological advancements in IoT, network technologies, and software engineering that address unsolved issues in computational intelligence. The volume focuses on empirical, theoretical, and application perspectives on smart technologies and computational intelligence, identifying the advantages and limitations of each.

The chapters on smart technologies address their application in communication services, healthcare and assistive technology, urban waste management, vehicle pollution and accident detection, and more. The technologies encompass the use of machine learning, blockchain, fog computing, etc. The volume goes on to discuss computational intelligence in network technologies as well as cryptography mechanisms, internet privacy protection, satellite communication technology, ant colony optimization algorithms, etc. The topics on computational intelligence in software engineering include security optimization via software-defined networking, education-based interactive automated agent, data warehouse requirement engineering, and more.

Together with Volume 1: Data Science and AI, Selected Papers from CIAIS-2021, this 2-volume set offers and abundance of valuable information on emerging technologies in computational intelligence.

À propos de l?auteur

Parneeta Dhaliwal, PhD, has over 16 years of experience in teaching and research. Presently, she is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She is also Head of the Research Cluster of Computing to facilitate students in their research projects.

Manpreet Kaur, PhD, is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She has more than 14 years of teaching and research experience. Her current research is on machine learning, deep learning, and natural language processing.

Hardeo Kumar Thakur, PhD, is an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University, Faridabad, India. With more than 10 years of teaching and research experience, he focuses on data mining, dynamic graph mining, machine learning and big data analytics.

Rajeev Kumar Arya, PhD, is an Assistant Professor with the Department of Electronics and Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems, and circuits design.

Joan Lu, PhD, is a Professor in the Department of Computer Science and the Research Group Leader of Information and System Engineering in the Centre of High Intelligent Computing at the University of Huddersfield, UK, having previously been team leader in the IT Department of the Charlesworth Group.