Open AI and Computational Intelligence for Society 5.0

Open AI and Computational Intelligence for Society 5.0

Projected Release Date: September, 2024|Copyright: © 2025 |Pages: 400
DOI: 10.4018/979-8-3693-4326-5
ISBN13: 9798369343265|ISBN13 Softcover: 9798369351840|EISBN13: 9798369343272
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Description & Coverage
Description:

As technology rapidly advances, the complexity of societal challenges grows, necessitating intelligent solutions that can adapt and evolve. However, developing such solutions requires a deep understanding of computational intelligence (CI) and its application in addressing real-world problems. Moreover, ethical considerations surrounding AI, such as bias and accountability, are crucial to ensure responsible development and deployment of intelligent systems.

Open AI and Computational Intelligence for Society 5.0 offers a comprehensive exploration of CI, providing insights into intelligent systems' theory, design, and application. This book is a practical guide for scientists, engineers, and researchers seeking to develop thoughtful solutions for complex societal issues. Integrating disruptive technologies and frameworks illuminates the path toward creating intelligent machines collaborating with humans to enhance problem-solving and improve quality of life.

This extensive research book is tailored for professionals and postgraduate students in fields like IoT, AI/ML, and city planning. It delves into domain-specific applications of AI and CI in areas such as healthcare, smart cities, and finance, directly relevant to your interests. It also addresses ethical considerations, ensuring that advancements in AI are made responsibly. With a blend of theoretical insights and real-world use cases, this book equips you with the knowledge and tools needed to navigate the complexities of AI and CI, contributing to the advancement of Society 5.0.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive Intelligent Tutoring Systems
  • Advances in AI
  • Agriculture
  • Bias in AI
  • Climate Change Mitigation
  • Cognitive Computing Systems
  • Computational Intelligence
  • Deep Learning Models
  • Domain-Specific Applications
  • Education
  • Ethical Considerations
  • Evolutionary Computation
  • Finance
  • Fuzzy Systems
Table of Contents
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Editor/Author Biographies
Rajiv Pandey Senior is a member of the IEEE and is a Faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus India. He possesses a diverse back ground experience of around 30 years to include 15 years of Industry and 13 years of academic. His research interests include the contemporary technologies as Semantic Web Provenance, Cloud and Big Data, and Data Analytics. He has published more than 30 research papers in Scopus, and other science indexed journals of repute. He has been Session chairs, Technical committee member for various IEEE and Elsevier conferenceHe has been on technical committees of various government and private universities. He is intellectually involved in supervising Doctorate Research Scholars and Post graduate Students. He is also an active contributor in professional bodies like IEEE, IET and Lucknow Management Association. He is also a member of Machine Intelligence Research Labs.

Dr. Nidhi Srivastava is an accomplished academician and researcher, currently serving as an Assistant Professor at the Amity Institute of Information & Technology, Amity University, Lucknow. With over a decade of experience she has been a dedicated educator, previously working as a Lecturer at the Institute of Environment and Management (IEM), Anwari, from February 1, 2005, to April 30, 2007. Dr. Srivastava has made significant contributions to the field of information technology, particularly in areas such as cloud computing, biometric authentication, speech recognition, and e-governance. Her impressive publication record includes papers like "NoSQL - A Solution for Handling Big Data" and "An Agent-Based Multimodal Biometric Method for Secure Systems." As an active researcher, she has presented and published papers in various conferences and journals, exploring topics such as big data analytics, machine learning techniques, and anomaly detection in network traffic. Dr. Srivastava has demonstrated leadership by serving as a Program Leader for B.Sc.(IT), participating in various committees, and organizing workshops and conferences. She is also a respected editor and contributor.

Rajesh Prasad is working as Professor (CSE) and Associate Dean (Engineering) at MIT Art, Design, and Technology University, Pune. He has more than 26 years of academic and research experience. He is an active senior member of IEEE and a chartered engineer from IE. He is instrumental in developing the curriculum and contents. He is associated with several universities in different roles. He is Ph.D. in Computer Engineering. 07 research scholars have been awarded Ph.D. under his guidance. He has published more than 90 papers in international and national journals, with 01 international patent (grant), 04 patents (published), and 11 copyrights to his credit. His area of interest is in Text and Data Analysis, Speech Processing, etc. He has authored 10+ books and book chapters. He has been associated with industries for research collaborations. He is an active member of various professional societies (ISTE, IEEE, CSI, etc.). His biography was published by Marquis Publication USA in Sept 2009. He has served as Research Review committee members in renowned universities like Symbiosis International University, Savitribai Phule Pune University, Bharath University etc. He has reviewed and examined more than 10 PhD thesis and many MTech thesis. He is also reviewer and technical committee member of various journals and conferences.
Jayashree Rajesh Prasad is Professor at Department of Computer Science & Engineering at School of Computing, at MIT ADT University Pune with 27 years of teaching experience. She has published 6 textbooks, 90+ papers in International Journals and Conference Proceedings. She has filed and published 6 patents and 13 copyrights. She is leading as AI and ML expert in International Collaborative Research with Oxford University and has been amongst top 10 % Author in Elsevier Social Science Research Network (SSRN). She is recipient of Young Teacher Professional Travel Grant, associated with TDIL and CSIR- National Institute of Science Technology and Development Studies (NISTADS), Government of India.
Manuel B. Garcia is a professor of information technology and the founding director of the Educational Innovation and Technology Hub (EdITH) at FEU Institute of Technology, Manila, Philippines. He is a graduate of Doctor of Information Technology from the University of the East and is presently a student of Doctor of Philosophy in Education at the University of the Philippines. His interdisciplinary research interest includes topics that, individually or collectively, cover the disciplines of education and information technology. He is a licensed professional teacher and a proud member of the National Research Council of the Philippines – an attached agency to the country’s Department of Science and Technology (DOST-NRCP).
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