Intelligent Data-Driven Systems and Artificial Intelligence
About the Book Series
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:
- Covers models, algorithms, and theoretical concepts of intelligent data-driven systems and artificial intelligence.
- Explores challenges and issues encountered by the academicians and researchers while working in the field of real-time analytics.
- Showcases books in key areas including cognitive and soft compiting-based data centric operations, pattern recognition, and computer vision.
- Highlights different data-driven systems and artificial intelligence platform for real-life problems.
Modelling of Virtual Worlds Using the Internet of Things
1st Edition
Edited
By Simar Preet Singh, Arun Solanki
July 31, 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 ...
Data-Driven Modelling with Fuzzy Sets: Embracing Uncertainty
1st Edition
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 ...
Data-Driven Modelling with Fuzzy Sets: A Neutrosophic Perspective
1st Edition
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 ...
Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications
1st Edition
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 ...