|
![]() |
|||
|
||||
OverviewThis 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. Full Product DetailsAuthor: Khaled R. Ahmed , Henry HexmoorPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2022 Volume: 105 Weight: 0.705kg ISBN: 9783030954185ISBN 10: 3030954188 Pages: 349 Publication Date: 29 March 2022 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsShareCert: 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |