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 Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques
1st Edition
By Mohammad Yazdi
October 30, 2024
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:...
Artificial Intelligence in Healthcare: Emphasis on Diabetes, Hypertension, and Depression Management
1st Edition
Edited
By Gourav Bathla, Sanoj Kumar, Harish Garg, Deepika Saini
October 23, 2024
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 ...
Data-Driven Systems and Intelligent Applications
1st Edition
Edited
By Mangesh M. Ghonge, N. Krishna Chaitanya, Pradeep N, Harish Garg, Alessandro Bruno
October 09, 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 ...
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
August 28, 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 ...