Contemporary Machine Learning in Smart Cities: A Review of Quality, Measurability, Explainability, Privacy, and Security

Proceedings of International Scientific Conference „ALFATECH – Smart Cities and modern technologies“ (pp. 192-203) 

 

AUTOR(I) / AUTHOR(S): Anja DELIĆ , Jelena KOVAČ , Nevena GLIGOROV , Branislav S. RISTIĆ , Marko GORDIĆ , Radovan TUROVIĆ , Dinu DRAGAN , Dušan B. GAJIĆ , Veljko B. PETROVIĆ 

 

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DOI:  10.46793/ALFATECHproc25.192D

SAŽETAK / ABSTRACT:

This review paper examines current research on machine learning applications in smart cities, explicitly focusing on quality, measurability, explainability, privacy, and security. By synthesizing findings from recent studies, we uncover new trends, methods, and ways to measure performance that are key for developing and deploying these systems. We discuss how data privacy and system security challenges intertwine with the technical requirements of quality assurance and explainability, and we propose future research directions that could foster more reliable and accountable machine-learning solutions in urban environments. This review aims to provide researchers and practitioners with an overview of the current landscape, facilitating a multidisciplinary dialogue on enhancing trust and efficacy in smart city technologies.

KLJUČNE REČI / KEYWORDS:

artificial intelligence, internet of things, machine learning, smart building, smart city, smart energy, smart health, smart home, smart logistics, smart security, smart transport

PROJEKAT / ACKNOWLEDGEMENT:

This research has been supported by the Ministry of Science, Technological Development and Innovation (Contract No. 451-03-137/2025-03/200156) and the Faculty of Technical Sciences, University of Novi Sad through project “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad 2025” (No. 01-50/295).

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