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Machine Learning Paradigm for Internet of Things Applications
book

Machine Learning Paradigm for Internet of Things Applications

by Shalli Rani, R. Maheswar, G. R. Kanagachidambaresan, Sachin Ahuja, Deepali Gupta
March 2022
Intermediate to advanced content levelIntermediate to advanced
304 pages
7h 38m
English
Wiley-Scrivener
Content preview from Machine Learning Paradigm for Internet of Things Applications

1Machine Learning Concept–Based IoT Platforms for Smart Cities’ Implementation and Requirements

M. Saravanan1*, J. Ajayan2, R. Maheswar3, Eswaran Parthasarathy4 and K. Sumathi5

1Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India

2SR University Warangal, Telangana, India

3School of EEE, VIT Bhopal University, Bhopal, India

4SRM Institute of Science and Technology, Chennai, India

5Sri Krishna College of Technology, Coimbatore, India

Abstract

In developing countries, smart cities are a challenge due to the exponential rise in population. With the rise in demand and availability for goods and facilities, it is now one of the world's most dynamic networks. Intelligent machines are crucial in the construction of critical infrastructure and smart cities in this new age. The increase in population has created new opportunities for smart city management and administration. In the smart city model, information and communication technology (ICT) plays a vital role in policy formulation, decision-making, implementation, and, finally, effective resource allocation. The study's key objective is to explore the role of artificial intelligence, machine learning, and deep reinforcement learning in the evolution of cities. Rapid advancements in computing and hardware, as well as high-speed internet connectivity, have enabled large amounts of data to be transmitted into the physical world.

Keywords: Smart city, process management, sewage treatment plan (STP), neural networks, control ...

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Publisher Resources

ISBN: 9781119760474Purchase Link