Advances in Computational Collective Intelligence
About the Book Series
Advances in Computational Collective Intelligence (ACCI) is a new book series from CRC Press and Taylor & Francis. It covers research and developments in the area of collaborative decisions, collective decision making and problem solving, social network analysis, crowdsourcing, animal collective behavior. The ACCI Book Series will publish research on all fields of information technology including the growth and testing of new computational methods, the management and analysis of different types of data, and the implementation of novel engineering applications in all areas of information technology and engineering. It will also publish on inventive treatment methodologies, diagnosis tools and techniques, and finest practices for managers, practitioners and consultants in a wide range of organizations and fields including police, defense, procurement, communications, transport, management, electrical, electronic, and aerospace. The ACCI Book Series:
- Explores and discusses various aspects of design and development of intelligent technologies in real time environment. It also provides the implementation, integration, and deployment of intelligent technologies and their applications in different emerging fields.
- Provides important information on the computational collective intelligence methods that have been widely used for solving real world problems, including problem definition, data collection, data preprocessing, modeling, and validation. It also discusses high performance computing offer a wide range of applications and solutions in solving computational problems for any modern organization.
- Examines the important applications, tools, and methodologies being implemented in the field for the design and development of computer, electrical and engineering systems. It also discusses mathematical tools for solving the complicated problems of engineering systems.
- Presents varied and timely research in the development, deployment, and management of business information systems and business analytics for sustained organizational development and better business value.
About the Series Editor
Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India in the year 2013. He is working as Principal at Krupajal Computer Academy (KCA) Bhubaneswar. He has more than 17 years of teaching and research Experience His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He is the recipient of 5 researcher awards. In addition to research, he has guided two PhD students and 31 M. Tech students. He has published 71 International Journal papers (30 Scopus indexed). His professional activities include roles as Associate Editor, Editorial board member and/or reviewer of various International Journals. He is also the book series editor of CRC Press .He is the recipient of 5 research awards. He is Associate with no. of conference societies. He has more than 150 international publications, 5 authored books, 30 edited and upcoming books; 30 book chapters into his account. He is a fellow in SSARSC and life member in IE, ISTE, ISCA,OBA.OMS, SMIACSIT, SMUACEE, CSI. He also regularly serves as a program committee member for numerous national and international conferences.
Contact Dr. Pani at: [email protected] or [email protected]
Edge Computational Intelligence for AI-Enabled IoT Systems
1st Edition
Edited
By Shrikaant Kulkarni, Jaiprakash Dwivedi, Dinda Pramanta, Yuichiro Tanaka
June 27, 2025
Edge computational intelligence is an interface between edge computing and artificial intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies...
Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0
1st Edition
Edited
By JOSEPH BAMIDELE AWOTUNDE, Kamalakanta Muduli, BISWAJIT BRAHMA
June 16, 2025
Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production ...
Emotional Intelligence in the Digital Era: Concepts, Frameworks, and Applications
1st Edition
Edited
By Pushan Kumar Dutta, Sachin Gupta, Shafali Kashyap, Anita Gehlot, Rita Karmakar, Pronaya Bhattacharya
June 05, 2025
With research perspectives on elements of psychology and technology, Emotional Intelligence in the Digital Era: Concepts, Frameworks, and Applications provides insight into the intersection of emotional intelligence and digital technologies, including artificial intelligence (AI). It explains how ...
Deep Learning and Blockchain Technology for Smart and Sustainable Cities
1st Edition
Edited
By Subramaniyaswamy V, G. Revathy, Logesh Ravi, N. Thillaiarasu, Naresh Kshetri
May 21, 2025
In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of DL and blockchain ...
Parallel and High-Performance Computing in Artificial Intelligence
1st Edition
Edited
By Mukesh Raghuwanshi, Pradnya Borkar, Rutvij H. Jhaveri, Roshani Raut
May 19, 2025
Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, ...
Social Media and Crowdsourcing: Application and Analytics
1st Edition
Edited
By Sujoy Chatterjee, Thipendra P Singh, Sunghoon Lim, Anirban Mukhopadhyay
May 05, 2025
Social media and crowdsourcing are important tools for solving complex problems. The benefit of crowdsourcing is that it leverages the power of human intelligence cost effectively and with less time. Social Media and Crowdsourcing: Application and Analytics examines the concepts of social media and...
Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications
1st Edition
Edited
By Amjad Rehman Khan, Tanzila Saba
February 27, 2025
Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industry’s next phase of development ...
Computational Intelligence in Industry 4.0 and 5.0 Applications: Trends, Challenges and Applications
1st Edition
Edited
By JOSEPH BAMIDELE AWOTUNDE, Kamalakanta Muduli, BISWAJIT BRAHMA
February 06, 2025
Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They...
Deep Learning Applications in Operations Research
1st Edition
Edited
By Aryan Chaudhary, Biswadip Basu Mallik, Gunjan Mukherjee, Rahul Kar
December 30, 2024
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. ...
Artificial Intelligence Techniques in Power Systems Operations and Analysis
1st Edition
Edited
By Nagendra Singh, Sitendra Tamrakar, Arvind Mewada, Sanjeev Kumar Gupta
December 19, 2024
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets....
Technologies for Sustainable Global Higher Education
1st Edition
Edited
By Maria José Sousa, Andreia de Bem Machado, Gertrudes Aparecida Dandolini
December 19, 2024
Digital technologies are influencing the way we learn, live, work, and exist in different contexts of society in the digital age. There are a variety of learning systems that support innovative digital approaches, and universities and organizations around the world are investing in building their ...
Applications of Machine Learning and Deep Learning on Biological Data
1st Edition
Edited
By Faheem Masoodi, Mohammad Quasim, Syed Bukhari, Sarvottam Dixit, Shadab Alam
October 07, 2024
The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to ...