Intelligent Data-Driven Systems and Artificial Intelligence
About the Book Series
About the Book Series
Series Editor: Harish Garg, Thapar Institute of Engineering & Technology (Deemed University), Punjab, India
Editorial Board members:
Prof. Radu-Emil Precup, Department of Automation and Applied Informatics, Romania
Prof. Luis Martínez, University of Jaén, Jaén, Spain
Prof. Yanhui Guo, University of Illinois Springfield, USA
Prof. Dragan Pamucar, University of Defence in Belgrade, Serbia
Prof. Cengiz Kahraman, Istanbul Technical University, Turkey
Prof. Mohammad Yazdi, Macquarie University, Australia
Prof. Nargiz Safarova, Baku State University, Baku, Azerbaijan
Prof. Graçaliz Pereira Dimuro, Federal University of Rio Grande, Brazil
Prof. Jurgita Antucheviciene, Vilnius Gediminas Technical University, Lithuania
Prof. Aslıhan Sezgin, Amasya University, Türkiye.
Online ISSN: 3066-7291
Print ISSN: 3066-7305
About the Series
In today's era, most companies have adopted data-driven policies for operational decision-making. As a result, data-driven decision-making approaches are becoming increasingly important, along with the use of artificial intelligence. The aim of this series is to discuss cutting-edge technologies and explain their significance in terms of models, algorithms, and theoretical concepts related to intelligent data-driven systems and artificial intelligence. The series covers research on various databases and their applications in machine learning, decision-support systems, artificial intelligence, knowledge-based systems, and pattern recognition. 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 valuable for senior graduate students, graduate students, academic researchers, and professionals in the fields of computer engineering, electrical engineering, information technology, and related disciplines.
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 computing-based data-centric operations, pattern recognition, and computer vision.
- Highlights different data-driven systems and artificial intelligence platforms for real-life problems.
Artificial Intelligence in Healthcare: Emphasis on Diabetes, Hypertension, and Depression Management
1st Edition
Edited
By Gourav Bathla, Sanoj Kumar, Harish Garg, Deepika Saini
July 20, 2026
This book presents state-of-the-art research works for a better understanding of the advantages and limitations of AI techniques in the field of healthcare. It will further discuss artificial intelligence applications in depression, hypertension and diabetes management. The text also presents an ...
Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques
1st Edition
By Mohammad Yazdi
July 20, 2026
In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety:...
Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies
1st Edition
Edited
By Abhishek Kumar, Hemant Kumar Saini, Ashutosh Kumar Dubey, Vicente García Díaz
July 20, 2026
This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient ...
Data-Driven Systems and Intelligent Applications
1st Edition
Edited
By Mangesh M. Ghonge, N. Krishna Chaitanya, Pradeep N, Harish Garg, Alessandro Bruno
July 20, 2026
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 ...
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making: Optimization Applications
1st Edition
Edited
By Irfan Ali, Umar Muhammad Modibbo, Asaju La’aro Bolaji, Harish Garg
July 20, 2026
This book comprehensively discusses nature‑inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multi‑objective optimization...
Smart Agriculture: Harnessing Machine Learning for Crop Management
1st Edition
Edited
By Amol Dattatray Dhaygude, Suman Kumar Swarnkar, Priya Chugh, Yogesh Kumar Rathore
July 20, 2026
This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while ...
Fuzzy Sets and Triangular Norms: Aggregation in Decision-Aided Intelligent Systems
1st Edition
Edited
By Mehmet Ünver, Gökhan Özçelik
July 17, 2026
This book aims to serve as a comprehensive resource that equips readers with the knowledge and practical skills needed to navigate the intricacies of fuzzy set theory, t-norms, and their integration into decision-aided intelligent systems. It provides a comprehensive understanding of aggregation ...
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies
1st Edition
Edited
By Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belaqziz, Tarandeep Kaur Bhatia
June 22, 2026
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 ...
Intelligent Data-Driven Techniques for Security of Digital Assets
1st Edition
Edited
By Arun Kumar Rana, Sumit Kumar Rana, Vishnu Sharma, Ritu Dewan
June 22, 2026
The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our ...
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making: Artificial Intelligence Applications
1st Edition
Edited
By Irfan Ali, Umar Muhammad Modibbo, Asaju La’aro Bolaji, Harish Garg
June 22, 2026
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, ...
Data-driven Decision Making and Soft Computing: Applications and Advances
1st Edition
Edited
By D. Nagarajan, Dragan Pamucar, Zarife Zararsız
May 26, 2026
This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves into the theoretical foundations of fuzzy decision-making and soft computing, exploring the underlying principles, algorithms, and mathematical frameworks. The text ...
Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems
1st Edition
Edited
By Anshu Singla, Sarvesh Tanwar, Pao-Ann Hsiung
May 21, 2026
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 ...