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001-es BibID:	BIBFORM119700
035-os BibID:	(Scopus)85186604207 (cikkazonosító)102317
Első szerző:	Fadhel, Mohammed A.
Cím:	Comprehensive systematic review of information fusion methods in smart cities and urban environments / Mohammed A. Fadhel, Ali M. Duhaim, Ahmed Saihood, Ahmed Sewify, Mokhaled N.A. Al-Hamadani, A.S. Albahri, Laith Alzubaidi, Ashish Gupta, Sayedali Mirjalili, Yuantong Gu
Dátum:	2024
ISSN:	1566-2535 1872-6305
Megjegyzések:	Smart cities result from integrating advanced technologies and intelligent sensors into modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in creating interconnected and intelligent urban spaces. In this literature review, we explore the different methods of information fusion used in smart cities, along with their advantages and challenges. However, there are notable challenges in managing diverse data sources, handling large data volumes, and meeting the near-real-time demands of various smart city applications. The review aims to examine smart city applications in detail, incorporating quality evaluation and information fusion techniques and identifying critical issues while outlining promising research directions. In order to accomplish our goal, we conducted a comprehensive search of literature and applied selective criteria. We identified 59 recent studies addressing machine learning (ML) and deep learning (DL) techniques in smart city applications. These studies were obtained from various databases such as ScienceDirect (SD), Scopus, Web of Science (WoS), and IEEE Xplore. The main objective of this study is to provide more detailed insights into smart cities by supplementing existing research. The word cloud visualisation of machine learning/deep learning and information fusion in smart cities papers shows a diverse landscape, covering both technical aspects of artificial intelligence and practical applications in urban settings. Apart from technical exploration, the study also delves into the ethical and privacy implications arising in smart cities. Moreover, it thoroughly examines the challenges that must be addressed to realise this urban revolution's potential fully.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Deep learning Information fusion Machine learning Public safety Smart city Transportation Urban
Megjelenés:	Information Fusion. - 107 (2024), p. 1-34 . -
További szerzők:	Duhaim, Ali M. Saihood, Ahmed Sewify, Ahmed Al-Hamadani, Mokhaled N.A. (informatics) Albahri, A.S. Alzubaidi, Laith Gupta, Ashish Mirjalili, Sayedali Gu, Yuantong
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