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E-book

Title Blockchain and deep learning : future trends and enabling technologies / Khaled R. Ahmed, Henry Hexmoor, editors
Published Cham : Springer, [2022]
©2022

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Description 1 online resource : illustrations (chiefly color)
Series Studies in big data, 2197-6511 ; volume 105
Studies in big data ; v. 105. 2197-6511
Contents ShareCert: Sharing and Authenticating Certificates and Credentials on Blockchain -- Prospects of Semantic Web and Blockchain technologies in Libraries -- Scalability Analysis of Proof-of-Work based Blockchain -- Smart Contract: A Way to Modern Digital World -- Decentralized Public Distribution System on the Ethereum Blockchain interact with MyEtherWallet
Summary This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead
Notes Online resource; title from PDF title page (SpringerLink, viewed April 5, 2022)
Subject Blockchains (Databases)
Deep learning (Machine learning)
Big data.
Big data
Blockchains (Databases)
Deep learning (Machine learning)
Form Electronic book
Author Ahmed, Khaled R., editor.
Hexmoor, Henry, 1960- editor.
ISBN 9783030954192
3030954196