Cognitive Computing Models in Communication Systems (Smart and Sustainable Intelligent Systems) - Hardcover

Über die Autorin bzw. den Autor

Budati Anil Kumar, PhD, is an associate professor in the ECE Department, Gokaraju Rangaraju Institute of Engineering & Technology (Autonomous), Hyderabad, India. He has more than 12 years of experience in teaching and six years of experience in research and has published more than 50 research articles in journals and conferences. His current research interests include cognitive radio networks, software-defined radio networks, artificial intelligence, 6G emerging technologies, mulsemedia computing, and UAVs in 5G and 6G.

S. B. Goyal, PhD, is Director, Faculty of Information Technology, City University, Malaysia. He has more than 20 experience and has published 100+ papers in journals and conferences.

Sardar M.N. Islam, PhD, is Director of Decision Sciences and Modelling Program at Victoria University, Australia. He has authored 31scholarly academic books in different disciplines, as well as more than 250 journal articles in his specialized research areas.

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A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions.

The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area.

The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques.

Readers will find in this succinctly written and unique book:

• Topics covering the applications of advanced cognitive devices, models, architecture, and techniques.
• A range of case studies and applications that will provide readers with the tools to apply cutting-edge models and algorithms.
• In-depth information about new cognitive computing models and conceptual frameworks and their implementation.

Audience

The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.