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Article type: Research Article
Authors: Rath, Adyashaa | Patnaik, Srikantaa; * | Panda, Ganapatib
Affiliations: [a] Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, Odisha | [b] Department of Electronics and Tele Communication, C. V. Raman Global University, Bhubaneswar, Odisha
Correspondence: [*] Corresponding author. Srikanta Patnaik, Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, 751030, Odisha. E-mail: [email protected].
Abstract: The density of population in cities is growing at a faster rate to make the life of people in cities comfortable and save. The city needs to be smart. It can be mainly achieved by intelligent decision making process using computational intelligence based systems. Keeping this in view, many researchers and organizations are working to develop and implement computational intelligence decision support systems. To obtain a comprehensive overview on the current status on SI based smart city community the present investigation has been made. To achieve this objective recently published standard articles on this important sub area have been collected and reviewed. The summary of the review has been presented in systematic manner to facilitate the researchers who are currently working in the area of smart city community. The important findings of the review have been made and presented. The important performance measures in various aspects of smart city obtained by the computational intelligence methods have been listed. It is expected that the findings and the contribution of the paper will benefit the researchers, the related government and private organizations in terms of furthering their research efforts and producing different smart products pertaining to community development and improvement of comfort level of the dwellers of the smart city.
Keywords: Smart city, computational intelligence, machine learning, intelligent transportation system, smart healthcare, smart environment, smart education, cyber security
DOI: 10.3233/JIFS-202919
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 975-991, 2021
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