Cognitive Computing Using Green Technologies: Modeling Techniques and Applications

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Asis Kumar Tripathy (VIT, Vellore, India) Chiranji Lal Chowdhary (VIT, India)

Cognitive Computing Using Green Technologies

Modeling Techniques and Applications

Asis Kumar Tripathy (VIT, Vellore, India), Chiranji Lal Chowdhary (VIT, India), Mahasweta Sarkar (San Diego State University, CA, USA) , Sanjaya Kumar Panda (IIITDM, Pradesh, India)

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English

CRC Press
07 October 2024

Robotics; Databases; Computer science; Artificial intelligence; Neural networks & fuzzy systems

Series: Green Engineering and Technology

Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies.

This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving.

This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing.

Edited by: Asis Kumar Tripathy (VIT Vellore India), Chiranji Lal Chowdhary (VIT, India), Mahasweta Sarkar (San Diego State University, CA, USA), Sanjaya Kumar Panda (IIITDM, Pradesh, India)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 550g
ISBN: 9780367639822
ISBN 10: 0367639823
Series: Green Engineering and Technology
Pages: 280
Publication Date: 07 October 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Part I: Green Computing Basics. 1. Use of Green Computing. 2. Design of Green Computing. Part II: Cognitive Science and Blockchain Base Distributed Network. 3. Cognitive Wireless Network. 4. Parallel and Distributed Computing in Cognitive Science. 5. Cognitive Analytics After Big Data Analytics and Machine Learning. Part III: Deep learning based Cognitive Robotics and Security. 6. Cognitive Science Based Business Analytics. 7. Security and Privacy for Internet of Things (IoT). 8. Shaping the Wireless Network as Cognitive Robotics. Part IV: Blockchain and Cryptocurrencies. 9. Blockchain and Decentralized Applications. 10. Blockchain in IoT and Edge Computing. Part V: Machine learning Applications. 11. Intelligent Robots with Biometic Neural Learning. 12. Deep Reasoning by Cognitive Robots and Wireless Networks.