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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.

28 Series Titles


Intelligent Systems Emerging Trends and Challenges in Deep Neuro-Fuzzy Models and Explainable Artificial Intelligence

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

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

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

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

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

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

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 ...

Intelligent Data-Driven Techniques for Security of Digital Assets

Intelligent Data-Driven Techniques for Security of Digital Assets

1st Edition

Edited By Arun Kumar Rana, Sumit Kumar Rana, Vishnu Sharma, Ritu Dewan
March 23, 2025

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

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
December 26, 2024

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, ...

Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making Optimization Applications

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

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 ...

Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies

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
December 10, 2024

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 ...

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