Smart City Gnosys

Smart city article details

Title	Machine Learning For Smart Cities: A Survey
ID_Doc	35979
Authors	Mahamuni C.V.; Sayyed Z.; Mishra A.
Year	2022
Published	2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022
DOI	http://dx.doi.org/10.1109/IPRECON55716.2022.10059521
Abstract	Smart Cities utilize Information and Communication Technology (ICT) tools to improve operational efficiency and provide excellent service. It aims to make the core infrastructure available and enhance the quality of life. Artificial Intelligence (AI) approaches are used to improve the critical features of a smart city to enhance the quality of life. Smart cities' sustainable development is needed to ensure that rapid urbanization does not affect the natural environment. Machine Learning (ML) is an essential subset of Artificial Intelligence that can contribute to the expansion of emerging smart cities with sustainability. The literature shows that the research community can use Machine Learning (ML) and Deep Learning (DL) to improve the various smart city attributes. These include prediction of air quality, crop management, forecasting weather conditions like rainfall, humidity, fog, transportation, water supply, infrastructure, etc. This paper presents a literature-based study of the smart city concept, sustainability in smart cities, the functional aspects of smart cities, and a survey related to the use of Machine Learning and Deep Learning in it.
Author Keywords	Air quality; Machine Learning; Smart City; Smart Education; Smart Energy; Smart Health; Smart Transportation/Mobility

Similar Articles

Id	Similarity	Authors	Title	Published
32035	0.951	Mrabet M.; Sliti M.	Integrating Machine Learning For The Sustainable Development Of Smart Cities	Frontiers in Sustainable Cities, 6 (2024)
35978	0.942	Dou X.; Chen W.; Zhu L.; Bai Y.; Li Y.; Wu X.	Machine Learning For Smart Cities: A Comprehensive Review Of Applications And Opportunities	International Journal of Advanced Computer Science and Applications, 14, 9 (2023)
8953	0.941	França R.P.; Monteiro A.C.B.; Arthur R.; Iano Y.	An Overview Of The Machine Learning Applied In Smart Cities	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1386 (2021)
35883	0.936	Oladipo I.D.; AbdulRaheem M.; Awotunde J.B.; Bhoi A.K.; Adeniyi E.A.; Abiodun M.K.	Machine Learning And Deep Learning Algorithms For Smart Cities: A Start-Of-The-Art Review	EAI/Springer Innovations in Communication and Computing (2022)
35885	0.935	Sabbharwal S.M.; Aiden M.K.; Chhabra S.	Machine Learning And Deep Learning For Smart City Services	Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities: Volume 3 (2024)
50394	0.934	Papitha Christobel T.; Meenakshi S.; Rajeswari P.; Mohanambal K.; Giri R.K.	Smart City Optimization Through Machine Learning For Enhancing Urban Efficiency And Sustainability	Nanotechnology Perceptions, 20, S5 (2024)
52939	0.934	Nosratabadi S.; Mosavi A.; Keivani R.; Ardabili S.; Aram F.	State Of The Art Survey Of Deep Learning And Machine Learning Models For Smart Cities And Urban Sustainability	Lecture Notes in Networks and Systems, 101 (2020)
10410	0.928	Hassan Dahab M.B.; Ali Ahmed E.S.; Mokhtar R.A.; Saeed R.A.	Artificial Intelligence And Machine Learning Approaches In Smart City Services	Handbook of Research on Network-Enabled IoT Applications for Smart City Services (2023)
35880	0.924	Kumar, H; Tanweer, S; Agarwal, P; Rao, NS	Machine Learning And Artificial Intelligence Based Energy Efficient Smart Cities : A Concise Survey	JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 46, 3 (2025)
2389	0.923	Monteiro A.C.B.; França R.P.; Arthur R.; Iano Y.	A Look At Machine Learning In The Modern Age Of Sustainable Future Secured Smart Cities	Advanced Sciences and Technologies for Security Applications (2021)