The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …

The development in our urban cities has increased significant risks with everyday lives, like
traffic congestion, pollution of the atmosphere, energy use, and public safety among others …

The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

Deep learning (DL) and machine learning (ML) methods have recently contributed to the
advancement of models in the various aspects of prediction, planning, and uncertainty …

Nowadays, smart cities aim to efficiently manage all sectors like growing urbanization,
maintaining a green environment, energy consumption and life style of the people. The …

Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …

Recently, the smart city has evolved as a global model and several institutions have adopted
this concept to facilitate the citizens with the comfort and quality of life exploiting the progress …

Smart cities (SC) promote economic development, improve the welfare of their citizens, and
help in the ability of people to use technologies to build sustainable services. However …