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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Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities,echnology. 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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Smart Cities Ecosystem in the Modern Digital Age: An Introduction, residents, boost economic development, and at the same time, promote and favor sustainability, as also to improve infrastructure, optimize urban mobility, and engender solutions sustainable, to generate efficiency in urban operations, this is, improving the population’s quality of life. Smart citie

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Blockchain Integrated Framework for Resolving Privacy Issues in Smart City,lar approach that operates by deploying sensors with significant qualities and integrating them with ICT (Information and Communication Technologies) solutions. The application area for the IoT platform has been in smart building and office management, transportation, environmental degradation surve

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Smart City Ecosystem Opportunities: Perspectives and Challenges,ernet of things (IOT) standards also offers unique resources by using the intellect of human beings and the capacity to solve problems to improve relevant services and mechanisms. This paper explores the benefits and challenges of integrating persons into research engine operations—as smart agents—a

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Data-Driven Generative Design Integrated with Hybrid Additive Subtractive Manufacturing (HASM) for in recent years since it was first introduced in the 1990s. In the smart cities, most of the structures, machines, processes and products will be redesigned in terms of technological developments linked to the fourth industrial revolution, Industry 4.0. This situation introduces the need of new des