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Smart city article details

Title	Machine Learning And Deep Learning For Smart City Services
ID_Doc	35885
Authors	Sabbharwal S.M.; Aiden M.K.; Chhabra S.
Year	2024
Published	Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities: Volume 3
DOI	http://dx.doi.org/10.1002/9781394297443.ch3
Abstract	Significant problems have emerged in metropolitan settings, such as air pollution, energy use and public safety concerns. Many of these issues have been addressed intelligently and integrated by the Internet of Things solutions. The use of in-depth learning (DL) and machine learning (ML) methodologies and urban development produced models such as climate, preparation, monitoring and investigation of the intelligence of intelligent cities. The application of ML and deep learning in the construction of smart cities is discussed in this chapter. It also puts a new tax on the use of ML and deep learning for smart cities and environmental planning with flexible regulations. Cutting trees, support equipment, sensory networks, and Bayesian, neuro-fuzzy and ensembles are the most commonly used ML and DL approaches in smart cities and urban development. By applying information and communication technologies solutions, city administrations can access knowledge hidden in large-scale data to give improved urban governance and management. © ISTE Ltd 2024.
Author Keywords	deep learning; environmental planning; information and communication technologies; Internet of Things solutions; machine learning; smart cities; urban development

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