… , and ongoing projects in XAI for smart cities. Authors in [13] provided a survey on
explainable deep learning models for smart city solutions such as flood detection and drainage …

… a comprehensive survey of AI, explainable artificial intelligence (XAI) based methods, and
… , “Explainable artificial intelligence for developing smart cities solutions,” Smart Cities, vol. 3, …

… and insurance enterprises are adapting their customer services to FinTech offerings. The
development of the financial sector in smart cities will ease access to other facilities such as …

… monitoring is presented, providing an overview of categories of ML algorithms for smart
monitoring that may be modified to achieve explainable artificial intelligence in civil engineering. …

… XAI to provide 99 more explainable and transparent services for areas including 100 …
including smart cities, healthcare, smart 630 agriculture, smart transportation, smart financial system…

… make efficient, sustainable and equitable … smart city transformation, as it offers the opportunity
to move away from purely technocentric efficiency solutions towards efficient, sustainable …

… common deployment of intelligent systems in application domains such as autonomous
vehicles and transportation, medical diagnosis, or insurance and financial services have shown …

… -users who are more focused on getting accurate solution. Hence, often the ability to interpret
… -making process, an explanation or an interpretable solution is required for ML systems. An …

… land use in Wuhan, considering it is the most populous city in central China. Industrial and
Commercial Services contribute to the highest traffic volume, indicating that urban commercial …

… services. The primary objective of this review is to explore the role of artificial intelligence (AI),
machine learning (ML)… (DRL) in the evolution of smart cities. The preceding techniques are …