Fostering Machine Learning and IoT for Blockchain Technology : Smart Cities Applications, Volume 2 / edited by Khaleel Ahmad, Uma N. Dulhare, Mohammad Sufian Badar, Jameel Ahamed, M. A. Rizvi.

Format:

Book

Author/Creator:

Ahmad, Khaleel.

Contributor:

Dulhare, Uma N.

Badar, Mohammad Sufian.

Ahamed, Jameel.

Rizvi, M. A.

Series:

Transactions on Computer Systems and Networks, 2730-7492

Language:

English

Subjects (All):

Computational intelligence.

Cooperating objects (Computer systems).

Computer engineering.

Computer networks.

Computational Intelligence.

Cyber-Physical Systems.

Computer Engineering and Networks.

Local Subjects:

Computational Intelligence.

Cyber-Physical Systems.

Computer Engineering and Networks.

Physical Description:

1 online resource (321 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9640-74-1

OCLC:

1526860769