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Deep Learning und Blockchain-Technologie für intelligente und nachhaltige Städte von Subr

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ISBN-13
9781032748573
Book Title
Deep Learning and Blockchain Technology for Smart and Sustainable
ISBN
9781032748573

Über dieses Produkt

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1032748575
ISBN-13
9781032748573
eBay Product ID (ePID)
11074782300

Product Key Features

Number of Pages
392 Pages
Publication Name
Deep Learning and Blockchain Technology for Smart and Sustainable Cities
Language
English
Publication Year
2025
Subject
Intelligence (Ai) & Semantics, Public Policy / City Planning & Urban Development
Type
Textbook
Subject Area
Computers, Political Science
Author
G. Revathy
Series
Advances in Computational Collective Intelligence Ser.
Format
Hardcover

Dimensions

Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
307.1416
Synopsis
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 DL and blockchain applications promises solutions for problems in areas ranging from risk management and financial services to cryptocurrency to public and social services. Furthermore, the convergence of artificial intelligence 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. This book also discusses blockchain security enhancement solutions and summarizes main key points necessary for developing various blockchain and DL-based intelligent transportation systems. This 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., 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, This book examines the paradigm shift towards a new digital smart city ecosystem brought about by the rapid adoption of deep learning, which has been combined with blockchain technology. Deep learning and blockchain applications cover a wide range of domains, ranging from risk management to social services, which this book explores.

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