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Smart city article details

Title	Ai-Driven Risk Management: Exploring Machine Learning Techniques And Privacy Challenges In Smart Cities
ID_Doc	7036
Authors	Iraklis Kokkinidis K.; Chatzipoulidis A.
Year	2024
Published	2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings
DOI	http://dx.doi.org/10.1109/MOCAST61810.2024.10615528
Abstract	This paper is a research review that delves into the realm of machine learning techniques for risk management, focusing on the intricate interplay between wireless networks and the burgeoning paradigm of smart cities. As the digital ecosystem continues to expand, encompassing diverse domains such as mobile networks, vehicular communication, and energy-efficient protocols, the need for robust risk management strategies has become increasingly imperative. ©2024 IEEE.
Author Keywords	Artificial Intelligence; Cybersecurity, Human-Computer Interaction (HCI); Risk Management; Smart City

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