When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review-Reference-Cited by-同舟云学术

When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review

Published:2022 Issue: Volume:10 Page:60985-61015
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Band Shahab S.¹^ORCID,Ardabili Sina²^ORCID,Sookhak Mehdi³^ORCID,Chronopoulos Anthony Theodore⁴,Elnaffar Said⁵^ORCID,Moslehpour Massoud⁶,Csaba Mako⁷,Torok Bernat⁷,Pai Hao-Ting⁸^ORCID,Mosavi Amir⁹^ORCID

Affiliation:

1. Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, Douliou, Taiwan

2. Department of Informatics, J. Selye University, Komárom, Slovakia

3. Department of Computer Science, Texas A&M University at Corpus Christi, Corpus Christi, TX, USA

4. Department of Computer Science, The University of Texas at San Antonio, San Antonio, TX, USA

5. Faculty of Engineering, Applied Science and Technology, Canadian University Dubai, Dubai, United Arab Emirates

6. Department of Business Administration, College of Management, Asia University, Taichung, Taiwan

7. Institute of the Information Society, University of Public Service, Budapest, Hungary

8. International Graduate Institute of Artificial Intelligence, National Yunlin University of Science and Technology, Douliou, Taiwan

9. John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary

Funder

European Union’s Horizon 2020 Research and Innovation Programme under the Programme SASPRO 2 COFUND Marie Sklodowska-Curie

Slovak Research and Development Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09792241.pdf?arnumber=9792241

Reference124 articles.

1. Air-pollution prediction in smart cities through machine learning methods: A case of study in Murcia, Spain;martínez-españa;J Univers Comput Sci,2018

2. Inference of vehicular traffic in smart cities using machine learning with the internet of things

3. AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning

4. A Machine Learning Approach for Intrusion Detection in Smart Cities

5. A tale of smart cities;shetty;Commun Int,1997

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