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By: (Edited by) G Revathy , (Edited by) Logesh Ravi , (Edited by) N. Thillaiarasu , (Edited by) Naresh Kshetri , (Edited by) Subramaniyaswamy V
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In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of deep learning and blockchain applications promise solutions for problems in areas ranging from risk management and financial services to cryptocurrency to public and social services. Furthermore, the convergence of AI and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advances in technology bring both opportunities and challenges in creating sustainable smart cities.
To help planners and developers to meet these challenges and exploit these opportunities, Deep Learning and Blockchain Technology for Smart and Sustainable Cities takes a deep dive into the technologies and applications that enable smart and sustainable cities. It provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities. It presents a detailed discussion of key factors in the convergence of blockchain and DL technologies that help form sustainable smart societies. The book also discusses blockchain security enhancement solutions and summarizes main key points necessary for developing various blockchain and DL-based intelligent transportation systems.
The book concludes with a discussion of open issues and future research direction. These include new security suggestions and guidelines for a sustainable smart city ecosystem. Also discussed is 6G-enabled DL and blockchain in real time applications
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