finelybook
Cognition-based Smart Computing
Author(s): Sangita S. Chaudhari (Editor), Pallavi Vijay Chavan (Editor), Parikshit Mahalle (Editor), Pranav Pawar (Editor)
- Publisher finelybook 出版社: CRC Press
- Publication Date 出版日期: March 30, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 292 pages
- ISBN-10: 1032795336
- ISBN-13: 9781032795331
Book Description
The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems. It further identifies applications that demonstrate innovative ways of utilizing cognition-based smart computing for solving various real-world problems.
• Presents cognitive modeling in machine consciousness and human cognition.
• Covers artificial intelligence (AI) and its applications in machine self-learning, human-computer interaction, natural language (NL) processing, cognitive models, and architectures.
• Discusses machine learning (ML) and cognitive computing for mobile communications, and wireless networks.
• Explains the foundation, framework, and applications of cognition based smart computing in a single volume.
• Showcases key issues and challenges in the emerging area of cognitive computation and promotes an interdisciplinary understanding of the diversity in the adaptation of cognition in smart computing.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
Editorial Reviews
Editorial Reviews
About the Author
Sangita Chaudhariis currently working as a professor and Head in the Department of Computer Science and Engineering at Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India. She has published papers in International/National Journals/Conferences and book chapters in the domain of information security, image processing, and pattern recognition. Her research interests include image processing, information security, geographical information systems, and remote sensing.
Pallavi Vijay Chavanis presentlyworking as Professor in Department of Computer Engineering, Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai, India. She has 22 years of academic experience in data science and network
security In her academic journey, she published research work in the data science and security domain. She has published research papers in journals and conferences of national and international repute.
Parikshit Mahalleis a senior member of IEEE and a Professor, Dean of Research and Development, and Head, of the Department of Artificial Intelligence and Data Science, at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark, and continued as a postdoc researcher at CMI, Copenhagen, Denmark. He has 12 patents, published more than two hundred research papers in journals and conferences of national and international repute. His research interests are machine learning, data science, algorithms, the Internet of Things, identity management, and security.
Pranav Mothabhau Pawaris currently working as an assistant professor, in the Department of Computer Science, at Birla Institute of Technology and Science, Dubai. He developed a deep Q-learning-based asymptotically optimal solution to the spectrum collaboration problem. He published more than 40 papers in national and international journals and conferences.
