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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End-to-End Learning for Autonomous Driving in Secured Smart Cities,ing road traffic safety, reducing traffic-related economic loss, reducing traffic congestion, and enabling new vehicle applications. With the recent development of deep learning and sensor technologies, the autonomous vehicle becomes a highly complex networked system that heavily relies on sensor da

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Smart City Technologies for Next Generation Healthcare,cept of bringing technology, society, and government together to refine the quality of the living standards of their citizens. As the number of urban areas is increasing day by day and the citizens are becoming ambitious for a living style with a secured environment, the demand for a proper and safe

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An Investigation on Personalized Point-of-Interest Recommender System for Location-Based Social Netis provides a great opportunity to provide various location-aware utilities in the Smart Cities. Future will be smart, each and every places/location will be connected to the network and it will make the cities smart and advanced. One such service includes the Point-of-Interest recommender that is u

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Privacy Issues of Smart Cities: Legal Outlook,of humans and technology has unravelled novel challenges in protecting various socio-economic rights of the people, enshrined in the United Nations Sustainable Development Goals (UNSDG). This paper tends to unravel the truth behind such promises in the Indian context, in her endeavour to bridge the

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Cybercrime Issues in Smart Cities Networks and Prevention Using Ethical Hacking,moved their data to cloud platforms that bring new data protection issues and challenges especially in IoT and Smart cities networks. Internet of Things (IoT) is a growing field in today’s world that offers reliable and consistent communication via wireless and wired connections and generate a huge

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Book 2021ices, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities..

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Rajnish Sharma,Archana Mantri,Sumeet Duaegard, after a brief review of different kinds of machine learning methods, it has focused on their applications. Also, it provides fundamental insights for future machine learning-based financial research.

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1613-5113 logies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities..978-3-030-72141-1978-3-030-72139-8Series ISSN 1613-5113 Series E-ISSN 2363-9466