Cognition-based Smart Computing: Foundations, Frameworks, and Applications - Tapa dura

 
9781032795331: Cognition-based Smart Computing: Foundations, Frameworks, and Applications
Tapa dura
ISBN 10: 1032795336 ISBN 13: 9781032795331
Editorial: CRC Press, 2026

Sinopsis

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.

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Acerca del autor

Sangita Chaudhari is 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 Chavan is 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 Mahalle is 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 Pawar is 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.

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Editorial
CRC Press
Año de publicación
2026
Idioma
Inglés
ISBN 10 
1032795336
ISBN 13 
9781032795331
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
292
Editor
Chaudhari Sangita S., Vijay Chavan Pallavi, Mahalle Parikshit, Pawar Pranav
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

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München
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