
Cognition-based Smart Computing
Description
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* Presents cognitive modeling in machine consciousness and human cognition.
* Covers artificial intelligence and its applications in machine self-learning, human-computer interaction, natural language processing, cognitive models, and architectures.
* Discusses machine learning 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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Persons
Pallavi Vijay Chavan is presently working as an associate professor, in the Department of Information Technology, at Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India. She has been an academic for 16 years, working 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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