Titlebook: Data-Driven Mining, Learning and Analytics for Secured Smart Cities; Trends and Advances Chinmay Chakraborty,Jerry Chun-Wei Lin,Mamoun Alaz

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Smart City Technologies for Next Generation Healthcare, we have briefly described the overview of a smart city and its components. Among all these components, smart healthcare is our target component for further studies. We presented current informative views regarding next-generation healthcare system modules such as data collection through mobile sens

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An Investigation on Personalized Point-of-Interest Recommender System for Location-Based Social Netmmendation algorithm in this chapter. The proposed method incorporates the spatial feature along with the user activity and social feature. This model is implemented on a large-scale check-in dataset, Foursquare.

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A Look at Machine Learning in the Modern Age of Sustainable Future Secured Smart Cities,possible to be efficient through the employment of data collected in real-time combined with the skills of computational intelligence, i.e., Machine Learning and its aspects. In this sense, this chapter intends to offer a scientific major contribution related to an overview of Machine learning, dire

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On Power Series over a Graded Monoidechnology. A smart city offers enhanced social facilities, transport and accessibility while promoting sustainability by using different sensors to gather data from the surroundings. The data collected can then be used to control urban infrastructure, such as traffic congestion, water supply, enviro

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A Non-reductionist Approach to Trustalibre. They take the help of the internet to send and receive messages. As these devices do not have enough storage, they employ a cloud to store the sensed readings. The proposal is the inclusion of both the technologies. The recommendation makes sure about correspondence in vehicular organization