Blockchain and deep learning future trends and enabling technologies / [electronic resource] :

• 其他作者：
  • Ahmed, Khaled R.
  • Hexmoor, Henry.
  • SpringerLink (Online service)
• 其他題名：
  • Studies in big data ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Studies in big data,v. 105
• 主題： Blockchains (Databases) , Deep learning (Machine learning) , Big data. , Data Engineering. , Cyber-Physical Systems. , Computational Intelligence. , Big Data.
• ISBN： 9783030954192 (electronic bk.) 、 9783030954185 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
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• 摘要註: 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.
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