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Blockchain and deep learning = futur...

Ahmed, Khaled R.

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Blockchain and deep learning = future trends and enabling technologies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Blockchain and deep learning/ edited by Khaled R. Ahmed, Henry Hexmoor.
Reminder of title:	future trends and enabling technologies /
other author:	Ahmed, Khaled R.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	x, 349 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Blockchains (Databases) -
Online resource:	https://doi.org/10.1007/978-3-030-95419-2
ISBN:	9783030954192

Blockchain and deep learning = future trends and enabling technologies /
Blockchain and deep learningfuture trends and enabling technologies /[electronic resource] :edited by Khaled R. Ahmed, Henry Hexmoor. - Cham :Springer International Publishing :2022. - x, 349 p. :ill., digital ;24 cm. - Studies in big data,v. 1052197-6511 ;. - Studies in big data ;v. 105..

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.

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.

ISBN: 9783030954192

Standard No.: 10.1007/978-3-030-95419-2doiSubjects--Topical Terms:

3222206
Blockchains (Databases)

LC Class. No.: QA76.9.B56 / B56 2022

Dewey Class. No.: 005.74

Blockchain and deep learning = future trends and enabling technologies /
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245 0 0 $a Blockchain and deep learning $h [electronic resource] : $b future trends and enabling technologies / $c edited by Khaled R. Ahmed, Henry Hexmoor.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a x, 349 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6511 ; $v v. 105
505 0 $a 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.
520 $a 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.
650 0 $a Blockchains (Databases) $3 3222206
650 0 $a Deep learning (Machine learning) $3 3538509
650 0 $a Big data. $3 2045508
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Cyber-Physical Systems. $3 3591993
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
700 1 $a Ahmed, Khaled R. $3 3494533
700 1 $a Hexmoor, Henry. $3 3596123
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Studies in big data ; $v v. 105. $3 3596124
856 4 0 $u https://doi.org/10.1007/978-3-030-95419-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)