Smart City Gnosys
Smart city article details
| Title | Comprehensive Systematic Review Of Information Fusion Methods In Smart Cities And Urban Environments |
|---|---|
| ID_Doc | 15339 |
| Authors | Fadhel M.A.; Duhaim A.M.; Saihood A.; Sewify A.; Al-Hamadani M.N.A.; Albahri A.S.; Alzubaidi L.; Gupta A.; Mirjalili S.; Gu Y. |
| Year | 2024 |
| Published | Information Fusion, 107 |
| DOI | http://dx.doi.org/10.1016/j.inffus.2024.102317 |
| Abstract | 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. |
| Author Keywords | Deep learning; Information fusion; Machine learning; Public safety; Smart city; Transportation; Urban |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
35883  | 0.922 | 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) |
| 58847 | 0.919 | Sharma A.; Rani S. | Transforming Urban Spaces And Industries: The Power Of Machine Learning And Deep Learning In Smart Cities, Smart Industries, And Smart Homes | Emerging Technologies and the Application of WSN and IoT: Smart Surveillance, Public Security, and Safety Challenges (2024) |
| 40125 | 0.914 | Hurbean L.; Danaiata D.; Militaru F.; Dodea A.-M.; Negovan A.-M. | Open Data Based Machine Learning Applications In Smart Cities: A Systematic Literature Review | Electronics (Switzerland), 10, 23 (2021) |
| 33845 | 0.912 | Salih S.; Abdelmaboud A.; Husain O.; Motwakel A.; Elshafie H.; Sharif M.; Hamdan M. | Iot In Urban Development: Insight Into Smart City Applications, Case Studies, Challenges, And Future Prospects | PeerJ Computer Science, 11 (2025) |
| 10108 | 0.911 | Heidari A.; Navimipour N.J.; Unal M. | Applications Of Ml/Dl In The Management Of Smart Cities And Societies Based On New Trends In Information Technologies: A Systematic Literature Review | Sustainable Cities and Society, 85 (2022) |
| 5243 | 0.911 | Cengiz B.; Adam I.Y.; Ozdem M.; Das R. | A Survey On Data Fusion Approaches In Iot-Based Smart Cities: Smart Applications, Taxonomies, Challenges, And Future Research Directions | Information Fusion, 121 (2025) |
| 49568 | 0.908 | Aishwarya R.I.; Asimithaa K.; Eunice J. | Smart Cities For The Future: A Data Science Approach | Cyber security and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (2025) |
| 8269 | 0.907 | Raj A.T.; Lal B.; Chinthamu N.; Komuraiah A.; Kirubakaran M.K. | An Improved Large Scale Data Analytics For Smart Cities With Multimodal Data Fusion | Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023 (2023) |
| 35974 | 0.907 | Luan B.; Feng X. | Machine Learning For Resilient And Sustainable Cities: A Bibliometric Analysis Of Smart Urban Technologies | Buildings, 15, 7 (2025) |
| 57747 | 0.906 | Ullah A.; Khan S.H.; Ullah I.; Mahmood T.; Nawazish S.; Ali Z.; Rehman A. | Toward Sustainable Smart Cities: Applications, Challenges, And Future Directions | International Journal of Data Science and Analytics (2025) |