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.
The phrase “smart city” refers to a collection of ideas and technology aimed at making cities more effective, technologically sophisticated, environmentally friendly, and socially inclusive. Technical, economic, and social innovations are among these ideas. Since the 2000s, this phrase has been around by a variety of players in politics, commerce, administration, and urban planning to describe technological advances and advancements in cities. A response to the commercial, societal, and governmental issues which post-industrial nations are facing in the new era, the concept of smart city is employed is combined with the use of digital technology. The main emphasis is on addressing issues that urban society faces, such as resource shortages, environmental pollution, population increase, and demographic changes. In a more general sense, the phrase also refers to non-technical innovations that improve the sustainability of urban living.
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