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.
Robotics and Intelligent Machines in Smart Agriculture: Emerging Systems and Applications
1st Edition
Edited
By Mohammad Shabaz
April 03, 2026
This book showcases new ideas and innovations in agricultural practices, including increased efficiency, reduced labour costs, optimized resource utilization, and enhanced crop quality. It covers the application of sensing, monitoring, data processing, learning, decision support, automated control,...
Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems
1st Edition
Edited
By Mariya Ouaissa, Mariyam Ouaissa, Anass Cherrafi, Najib Ben Aoun, Rahul Kar
March 12, 2026
This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges,...
Artificial Intelligence Powered Sustainable Development of Business 4.0
1st Edition
Edited
By Hemant Kumar Saini, Sita Rani, Vikram Puri, Noor Zaman Jhanjhi
February 27, 2026
This book begins by introducing digitization in sustainable development, discussing impacts on poverty, innovation, and infrastructure in the Age of Industry 4.0, and highlighting the development of interactive AI-powered environmental sustainability green models to reform the conservative business...
Intelligent Systems: Emerging Trends and Challenges in Deep Neuro-Fuzzy Models and Explainable Artificial Intelligence
1st Edition
Edited
By Siddhartha Roy, Soumya Sen, Agostino Cortesi
February 25, 2026
This book comprehensively covers an extensive array of topics within the realm of computational intelligence. The scope encompasses fuzzy logic, elucidating the principles and applications of this mathematical framework designed to handle uncertainty and imprecision in data. It delves into the ...
Blockchain and Software Defined Networking: Opportunities, Challenges, and Future Trends
1st Edition
Edited
By Sarvesh Tanwar, Sumit Badotra, Harish Garg
February 10, 2026
This book covers the security challenges of software-defined networks and proposes innovative solutions, such as the decentralization of security services and integration with blockchain technology, to enhance software-defined network security. It includes multiple case studies demonstrating the ...
Computational Intelligence in the Industry 4.0
1st Edition
Edited
By Anil Kumar Dubey, Vikash Yadav, Munesh Chandra Trivedi
December 25, 2025
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 ...
Intelligent Data-Driven Systems with Innovations in Artificial Intelligence
1st Edition
Edited
By Suneeta Satpathy, Alvaro Rocha, Sachi Nandan Mohanty, Tanupriya Choudhury
November 13, 2025
The book showcases the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, transfer learning, human-artificial intelligence collaboration, and sentiment analysis. • Explores the forefront of ...
Society 5.0: A Transformation towards Human-Centered Artificial Intelligence
1st Edition
Edited
By Biswaranjan Acharya, Madhu Shukla, chandreyee chowdhury, Harish Garg
August 10, 2025
The book will help the readers in the field of the Internet of Things, and especially its convergence with artificial intelligence, which has given rise to the new paradigm of artificial intelligence of things (AIoT). It covers important concepts such as intelligent space and human-centered ...
Next-Generation Artificial Intelligence Driven Smart and Renewable Energy
1st Edition
Edited
By Provas Kumar Roy, Sunanda Hazra, Chandan Paul
July 06, 2025
To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and ...
Data-Driven Technologies and Artificial Intelligence in Supply Chain: Tools and Techniques
1st Edition
Edited
By Mahesh Chand, Vineet Jain, Puneeta Ajmera
May 26, 2025
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 ...
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
December 26, 2024
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
December 18, 2024
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 ...