In todays' era, most of the companies have adopted the policy of data-driven for operational decision-making. As a result, data-driven decision making approaches are becoming more important, along with the use of artificial intelligence. The aim of the series is to discuss the cutting-edge technologies and explain their significance in terms of models, algorithms, theoretical concepts related to the intelligent data-driven systems and artificial intelligence. It covers research related to the different databases and their applications to machine learning, decision-support systems, artificial intelligence, knowledge-based systems, and pattern recognitions. It further explores the use of data analytics, meta-heuristic search, planning and scheduling, artificial neural networks, evolutionary computation, and swarm intelligence for intelligent systems.The books published under this series will be useful for senior graduate, graduate students, academic researchers, and professionals in the fields of computer engineering, electrical engineering, information technology, and mathematics.
Salient Features:
Edited
By Mangesh M. Ghonge, N. Krishna Chaitanya, Pradeep N, Harish Garg, Alessandro Bruno
October 02, 2024
This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further ...
Edited
By Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belaqziz, Tarandeep Kaur Bhatia
August 06, 2024
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the ...
Edited
By Anshu Singla, Sarvesh Tanwar, Pao-Ann Hsiung
July 31, 2024
This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for ...
Edited
By Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Muhammad Fayaz, Rehmat Ullah
July 31, 2024
The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological ...
Edited
By Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah
July 17, 2024
Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility ...
Edited
By Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah
July 03, 2024
Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets. In this thought-provoking book, titled Data-Driven Modelling with Fuzzy Sets: A ...
Edited
By Simar Preet Singh, Arun Solanki
June 28, 2024
The text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising machine learning, artificial intelligence, deep learning, robotics, cloud computing, and data mining algorithms. It further discusses concepts including multimedia for the Internet ...
Edited
By Anil Kumar Dubey, Vikash Yadav, Munesh Chandra Trivedi
June 06, 2024
This book discusses the importance of using industrial intelligence in collaboration with computational intelligence in forming a smart system for diverse applications. It further illustrates the challenges and deployment issues in industrial resolution. The text highlights innovation and ...
Edited
By B Rajanarayan Prusty, Neeraj Gupta, Kishore Bingi, Rakesh Sehgal
May 09, 2024
This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the ...
Edited
By Mahesh Chand, Vineet Jain, Puneeta Ajmera
November 23, 2023
This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides ...