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Fostering machine learning and IoT for blockchain technology = smart cities applications.. Volume 2 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fostering machine learning and IoT for blockchain technology/ edited by Khaleel Ahmad ... [et al.].
其他題名:	smart cities applications.
其他作者:	Ahmad, Khaleel.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xix, 297 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Computer Engineering and Networks. -
電子資源:	https://doi.org/10.1007/978-981-96-4074-4
ISBN:	9789819640744

Fostering machine learning and IoT for blockchain technology = smart cities applications.. Volume 2 /
Fostering machine learning and IoT for blockchain technologysmart cities applications.Volume 2 /[electronic resource] :edited by Khaleel Ahmad ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xix, 297 p. :ill. (chiefly color), digital ;24 cm. - Transactions on computer systems and networks,2730-7492. - Transactions on computer systems and networks..

Part 1. Blockchain with Machine Learning -- Chapter 1. Blockchain Analytics for Big Data -- Chapter 2. Machine Learning for Blockchain -- Part 2. Fostering Machine Learning and IoT for Blockchain to Develop Smart Cities Applications -- Chapter 3. Blockchain Application in Healthcare -- Chapter 4. Blockchain Application in Supply chain Management (SCM) -- Chapter 5. Blockchain Application in Finance/Banking -- Chapter 6. Blockchain Application in Insurance -- Chapter 7. Blockchain Application in Real-State -- Chapter 8. Blockchain Application in Smart Energy-efficient Communications in Smart Cities -- Chapter 9. Blockchain Application in Smart Reinventing food and agriculture -- Chapter 10. Blockchain Application in Smart Water, Waste Water Management -- Chapter 11. Blockchain Application in Smart Cities Cyber-Physical Infrastructures -- Chapter 12. Blockchain Application in Smart Education.

The book covers Blockchain Technology and its emerging field by developing socio-economic systems viz. efficiently establishing transparency, trust, increasing utilization of various resources, and reducing costs. This book is organized into 2 volumes that provide an overview of Blockchain technology foundations of Blockchain, Machine Learning and Distributed Systems, Cryptography, Consensus algorithm, Bitcoin concepts, and its properties, Smart Contracts, developing knowledge of tools like Hyperledger, Multichain, Ethereum, etc. Machine learning algorithms, applications of a smart city using machine learning and blockchain technology. While this book dwells on the foundations of Blockchain Technology as a part of transparency, scalability, integrity, security, and how the machine learning algorithms integrate with blockchain technology-based smart city applications, it will also focus on contemporary topics for Research and Development in various sectors. With an in-depth knowledge of the technology underlying various platforms such as Bitcoin, Ethereum, and Hyperledger. As a beginner, the reader will be learning the importance of consensus in transactions, how transactions are stored on Blockchain & how to use it in the financial domain, such as virtual currency, cross-border payment and settlement bills and supply chain finance, securities insurance, and transactions viz. Bitcoin. The reader will be able to develop custom smart contracts using Solidity and Remix IDE using the Ethereum platform and deploy them on the test Blockchain network using Truffle. The reader will learn how to build a machine-learning model and analyze the data which is generated by the practical use cases of Blockchain in various smart cities sectors like Smart Health, Smart food, agriculture, smart transport, smart water management, smart waste management, smart energy management, etc.

ISBN: 9789819640744

Standard No.: 10.1007/978-981-96-4074-4doiSubjects--Topical Terms:

1365733
Computer Engineering and Networks.

LC Class. No.: TD159.4

Dewey Class. No.: 307.14160285

Fostering machine learning and IoT for blockchain technology = smart cities applications.. Volume 2 /
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