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A Survey of Innovative Machine Learning Approaches in Smart City Applications
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Author(s): M. Saranya (School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India)and B. Amutha (Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India)
Copyright: 2024
Pages: 11
Source title:
Innovative Machine Learning Applications for Cryptography
Source Author(s)/Editor(s): J. Anitha Ruth (SRM Institute of Science and Technology, Vadapalani, India), G.V. Mahesh Vijayalakshmi (BMS Institute of Technology and Management, India), P. Visalakshi (Department of Networking and Communications, College of Engineering and Technology, SRM Institute of Science and Technology, Katankulathur, India), R. Uma (Sri Sairam Engineering College, Chennai, India)and A. Meenakshi (SRM Institute of Science and Technology, Vadapalani, India)
DOI: 10.4018/979-8-3693-1642-9.ch013
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Abstract
Smart cities are emerging as a response to the growing need for urban housing, with the goal of improving residents' quality of life through the integration of innovative machine learning technology. For these “smart cities” to work, massive amounts of data need to be collected and analyzed for insights. However, due to the various and noisy nature of the data generated, only a small portion of the enormous smart city data that is collected is actually used. The capacity to process massive amounts of noisy, inaccurate data is a hallmark of artificial intelligence and state-of-the-art machine learning. There are numerous significant everyday uses for it, including healthcare, pollution prevention, efficient transportation, improved energy management, and security. Plus, this chapter presents the ideas and evaluations of numerous innovative machine learning algorithms for their particular applications.
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