Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Look at Machine Learning in the Modern Age of Sustainable Future Secured Smart Cities
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.
A Look at Machine Learning in the Modern Age of Sustainable Future Secured Smart Cities
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.
A Look at Machine Learning in the Modern Age of Sustainable Future Secured Smart Cities
Adv. Sciences, Technologies
Chakraborty, Chinmay (Herausgeber:in) / Lin, Jerry Chun-Wei (Herausgeber:in) / Alazab, Mamoun (Herausgeber:in) / Monteiro, Ana Carolina Borges (Autor:in) / França, Reinaldo Padilha (Autor:in) / Arthur, Rangel (Autor:in) / Iano, Yuzo (Autor:in)
Data-Driven Mining, Learning and Analytics for Secured Smart Cities ; Kapitel: 17 ; 359-383
29.04.2021
25 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Deep learning , Big data , Machine learning , Data , Smart cities , Artificial intelligence , IoT , Data analytics , Sustainable development , Smart transportation Computer Science , Computer Communication Networks , Data Mining and Knowledge Discovery , Artificial Intelligence , Security Science and Technology , Public Policy
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