In today's world IoT platforms and processes in conjunction with the disruptive blockchain technology and path breaking AI algorithms lay out a sparking and stimulating foundation for sustaining smarter systems. Further computational intelligence (CI) has gained enormous interests from various quarters in order to solve numerous real-world problems and enable intelligent behavior in changing and complex environment. This book series focuses on varied computational methods incorporated within the system with the help of artificial intelligence, learning methods, analytical reasoning and sense making in big data. Aimed at graduate students, academic researchers and professionals, the proposed series will cover the most efficient and innovative technological solutions for industrial applications and sustainable smart societies in order to alter green power management, effect of carbon emissions, air quality metrics, industrial pollution levels, biodiversity and ecology.
Edited
By Ankush Jain, Vishal Srivastava, Gaurav Singal, Mohamed Mosbah
July 08, 2025
This comprehensive volume explores cutting-edge technologies, groundbreaking methodologies, and insightful ethical considerations. It brings together leading minds and research across diverse domains, offering readers a glimpse into the future of healthcare. From leveraging AI in diagnostics and ...
Edited
By Mohd Anas Wajid, Aasim Zafar, Mohammad Saif Wajid, Akib Mohi Ud Din Khanday, Pronaya Bhattacharya
April 28, 2025
This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or ...
Edited
By Pooja Jha, Shalini Mahato, Prasanta K. Jana, Sudhanshu Maurya, Ines Chihi
November 20, 2024
Artificial Intelligence based Solutions for Industrial Applications aims to examine the utilization of artificial intelligence (AI) technologies to tackle difficult industrial issues and offers readers a thorough understanding of how these technologies are being employed to address intricate ...
Edited
By Anoop V. S., Asharaf S, Justin Goldston, Samson Williams
October 07, 2024
This reference text provides the theoretical foundations, the emergence, and the application areas of Blockchain in an easy-to-understand manner that would be highly helpful for the researchers, academicians, and industry professionals to understand the disruptive potentials of Blockchain. It ...
Edited
By P. R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen, Megha Bhushan, Ashok Kumar, Marlia Mohd Hanafiah
October 07, 2024
The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, ...
By Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang
May 29, 2024
The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security...
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By C Kishor Kumar Reddy, P R Anisha, Samiya Khan, Marlia Mohd Hanafiah, Lavanya Pamulaparty, R Madana Mohana
February 19, 2024
The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0. Addresses how the convergence of intelligent systems and 5G wireless systems will solve ...
Edited
By Kamal Malik, Harsh Sadawarti, Moolchand Sharma, Umesh Gupta, Prayag Tiwari
November 14, 2023
The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It ...