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Advances in Computational Collective Intelligence


About the 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]

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Deep Learning Applications in Operations Research

Deep Learning Applications in Operations Research

1st Edition

Forthcoming

Edited By Aryan Chaudhary, Biswadip Basu Mallik, Gunjan Mukherjee, Rahul Kar
August 29, 2024

The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. ...

Deep Learning Concepts in Operations Research

Deep Learning Concepts in Operations Research

1st Edition

Forthcoming

Edited By Biswadip Basu Mallik, Gunjan Mukherjee, Rahul Kar, Aryan Chaudhary
August 21, 2024

The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based ...

Data-Driven Modelling and Predictive Analytics in Business and Finance Concepts, Designs, Technologies, and Applications

Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications

1st Edition

Forthcoming

Edited By Alex Khang, Rashmi Gujrati, Hayri Uygun, R. K. Tailor, Sanjaya Gaur
July 24, 2024

Data- driven and AI- aided applications are next- generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data- driven solutions, IoT technologies, AI- aided techniques, data ...

Innovations and Applications of Technology in Language Education

Innovations and Applications of Technology in Language Education

1st Edition

Forthcoming

Edited By Hung Phu Bui, Raghvendra Kumar, Nilayam Kumar Kamila
July 12, 2024

The linguistics and language education world has recently experienced a rapidly proliferating interest in applying technology. This interdisciplinary area bridges the gap between two previously separate fields. Innovations and Applications of Technology in Language Education is a collection of 12 ...

AI and IoT Technology and Applications for Smart Healthcare Systems

AI and IoT Technology and Applications for Smart Healthcare Systems

1st Edition

Forthcoming

Edited By Alex Khang
May 15, 2024

In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing. We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect ...

Edge Computational Intelligence for AI-Enabled IoT Systems

Edge Computational Intelligence for AI-Enabled IoT Systems

1st Edition

Edited By Shrikaant Kulkarni, Jaiprakash Dwivedi, Dinda Pramanta, Yuichiro Tanaka
February 26, 2024

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...

Social Media and Crowdsourcing Application and Analytics

Social Media and Crowdsourcing: Application and Analytics

1st Edition

Edited By Sujoy Chatterjee, Thipendra P Singh, Sunghoon Lim, Anirban Mukhopadhyay
December 06, 2023

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...

Technologies for Sustainable Global Higher Education

Technologies for Sustainable Global Higher Education

1st Edition

Edited By Maria José Sousa, Andreia de Bem Machado, Gertrudes Aparecida Dandolini
September 11, 2023

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 ...

Artificial Intelligence Techniques in Power Systems Operations and Analysis

Artificial Intelligence Techniques in Power Systems Operations and Analysis

1st Edition

Edited By Nagendra Singh, Sitendra Tamrakar, Arvind Mewada, Sanjeev Kumar Gupta
August 16, 2023

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....

Applications of Machine Learning and Deep Learning on Biological Data

Applications of Machine Learning and Deep Learning on Biological Data

1st Edition

Edited By Faheem Masoodi, Mohammad Quasim, Syed Bukhari, Sarvottam Dixit, Shadab Alam
March 13, 2023

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 ...

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