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Smart City Approaches Using Machine Learning and the IoT
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Author(s): Jay Kumar Pandey (Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, India), Vivek Veeraiah (Adichunchanagiri University, Mandya, India), Suryansh Bhaskar Talukdar (Vellore Institute of Technology, India), Veera Bhaskar Talukdar (Kaziranga University, Jorhat, India), Vinod Motiram Rathod (Bharati Vidyapeeth (Deemed), India)and Dharmesh Dhabliya (Vishwakarma Institute of Information Technology, Pune, India)
Copyright: 2023
Pages: 18
Source title:
Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities
Source Author(s)/Editor(s): Sabyasachi Pramanik (Haldia Institute of Technology, India)and K. Martin Sagayam (Karunya Institute of Technology and Sciences, India)
DOI: 10.4018/978-1-6684-6408-3.ch018
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Abstract
Machine learning has attracted the interest of academics and industrialists and is likely to develop. Machine learning may deliver widespread wireless connectivity. Machine learning enables the internet of things (IoT), which allows objects to communicate without human intervention. Healthcare, smart grids, vehicular communications, etc. use machine learning. The authors explore IoT-based machine learning methods applied in these sectors and others. Lessons learnt and judgments of machine learning's use in IoT networks are also discussed here.
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