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Cognitive Analytics and Reinforcement Learning
book

Cognitive Analytics and Reinforcement Learning

by R. Elakkiya, Subramaniyaswamy V.
May 2024
Intermediate to advanced content levelIntermediate to advanced
384 pages
10h 26m
English
Wiley-Scrivener
Content preview from Cognitive Analytics and Reinforcement Learning

2Cognitive Computing System-Based Dynamic Decision Control for Smart City Using Reinforcement Learning Model

Sasikumar A.1, Logesh Ravi2, Malathi Devarajan3, Hossam Kotb4 and Subramaniyaswamy V.5*

1Department of Data Science and Business Systems, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

2Centre for Advanced Data Science, Vellore Institute of Technology, Chennai, India

3School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

4Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, Egypt

5School of Computing, SASTRA Deemed University, Thanjavur, India

Abstract

Artificial intelligence (AI) is currently implemented to support many human-centered solutions, including medical, automated mobility, and other areas. As an emerging application developed with the help of AI, cognitive computing offers individualized connections and features that mimic human behavior for interpersonal interactions. On the other hand, much data are produced by applications of smart cities like healthcare, intelligent transportation, the retail sector, and disaster response. Properly managing the massive amount of created data is a constant concern. The analysis of vast amounts of data using cognitive computing has recently been the topic of many existing studies. These studies still need to address key issues, especially the portability and adaptability ...

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Publisher Resources

ISBN: 9781394214037Purchase Link