… machine learning (ML), and deep reinforcement learning (DRL) in the evolution of smart
cities… used to design optimal policy regarding various smart city-oriented complex problems. In …

… IoT, smart healthcare, smart cities, machine learning and their … in IoT-based smart cities and
healthcare is explained. In Section … of machine learning in conjunction with the IoT and smart …

… smart cities to address this challenge. We also propose a three-level learning framework for
smart cities that matches the hierarchical nature of big data generated by smart cities with a …

… Machine learning techniques are being utilized in several fields such as healthcare, smart …
In this paper, we study different IoT-based machine learning mechanisms that are used in the …

… waste management, smart governance, smart environment monitoring, etc. Now, we will
map each problem of smart cities with the solution provided by machine learning algorithms in …

… The lack of a specific definition of what makes a smart city smart [2] led to many cities around
the world tagging themselves smart [3]. In this paper, we define the smart city as a city that …

… (service robots) and machine learning are essential to … smart cities [10]. In light of the above,
this chapter outline to afford an updated overview of Machine Learning towards Smart Cities, …

… (DM) and machine learning (ML) approaches adopted in the promotion of smart cities. The
… the areas that are most engaged in promoting smart cities. Predictive analytics was the most …

… a smart city environment. Real-time monitoring of pollution data enables the metropolitans
to analyze the current traffic situation of the city … has used different machine learning tools for …

… in smart cities has been enhanced by the applications of deep learning (DL) and machine
learning (… variables coming from IoT-based cognitive cities. Therefore, this chapter reviews the …