A Survey of Innovative Machine Learning Approaches in Smart City Applications

Abstract

Smart cities are emerging as a response to the growing need for urban housing, with the goal of improving residents' quality of life through the integration of innovative machine learning technology. For these “smart cities” to work, massive amounts of data need to be collected and analyzed for insights. However, due to the various and noisy nature of the data generated, only a small portion of the enormous smart city data that is collected is actually used. The capacity to process massive amounts of noisy, inaccurate data is a hallmark of artificial intelligence and state-of-the-art machine learning. There are numerous significant everyday uses for it, including healthcare, pollution prevention, efficient transportation, improved energy management, and security. Plus, this chapter presents the ideas and evaluations of numerous innovative machine learning algorithms for their particular applications.