Smart City Gnosys

Smart city article details

Title	A Look At Machine Learning In The Modern Age Of Sustainable Future Secured Smart Cities
ID_Doc	2389
Authors	Monteiro A.C.B.; França R.P.; Arthur R.; Iano Y.
Year	2021
Published	Advanced Sciences and Technologies for Security Applications
DOI	http://dx.doi.org/10.1007/978-3-030-72139-8_17
Abstract	Artificial Intelligence (AI) is a fascinating technology for the whole society, whether the citizen, science, business, education, government, among others. Machine Learning is a technique derived from AI that through neural networks and statistical methods, establishes logical rules to make decisions and automate processes, i.e., a method employed so that machines can learn from the data. A smart city aggregateICT (Information and Communication Technologies) to promote the performance and quality of urban services related to urban transportation, energy consumption, and distribution, and even public services (water treatment and supply; production of electricity, gas, and fuels; collective transport; capture and treatment of sewage and garbage; telecommunications; among others), in order to decrease resource consumption, wastage, and general costs. The administration of Smart Cities is possible to be efficient through the employment of data collected in real-time combined with the skills of computational intelligence, i.e., Machine Learning and its aspects. In this sense, this chapter intends to offer a scientific major contribution related to an overview of Machine learning, directing focus to Sustainable Future Secured Smart Cities, discussing its relationship from a concise bibliographic background, evidencing the potential of technology. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	Artificial intelligence; Big data; Data; Data analytics; Deep learning; IoT; Machine learning; Smart cities; Smart transportation; Sustainable development

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