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Blockchain and Deep Learning

Part of the Studies in Big Data Book Series (volume 105)

Editors: Ahmed, Khaled R.; Hexmoor, Henry

DOI: 10.1007/978-3-030-95419-2

ISBN: 978-3-030-95418-5

Publisher: Springer International Publishing - Springer Journals

Mar 26, 2022

1 - 10 of 15 Chapters

LitStream

ShareCert: Sharing and Authenticating Certificates and Credentials on Blockchain

Lodagala, Vasista Sai Venkata Durga Prasad; Baruah, Pallav Kumar

Pages: 3 –29

[The process of certificate and credential verification of every candidate is an essential step in the recruitment phase of every organization. Today, most of this work is usually outsourced to external agencies. Owing to the presence of third parties and lack of transparency in the verification...
LitStream

Prospects of Semantic Web and Blockchain Technologies in Libraries

Bashir, Faiza; Warraich, Nosheen Fatima

Pages: 31 –45

[Blockchain and the Semantic web are the recent revolutions that have already begun to transform the industry, social and political interactions, and any other kind of exchange of value. It's not just a trend; it's a growing phenomenon that's already in progress. For LI Centres, Semantic web and...
LitStream

Scalability Analysis of Proof-of-Work Based Blockchain

Malhotra, Diksha; Dhiman, Shilpa; Saini, Poonam; Singh, Awadhesh Kumar

Pages: 47 –66

[Recent advancements in technologies and today’s digital era demands a high level of security and privacy in all aspects. The concept of Blockchain has emerged as a promising technology. As any node in a peer-to-peer network does not fully trust the other nodes, the technology uses cryptographic...
LitStream

Smart Contracts: A Way to Modern Digital World

Sarma, A. D. N.

Pages: 67 –106

[This chapter presents an introduction that covers the background of the study includes traditional contract system and its limitations. In the past five four years, a large number of businesses, organizations, governments, and communities have been paying much attention to blockchain technology,...
LitStream

Decentralized Public Distribution System on the Ethereum Blockchain Interact with MyEtherWallet

Devi Parameswari, C.; Ilayaraja, M.

Pages: 107 –124

[Blockchain technology is an innovative platform that provides distributed ledgers. With decentralized and transparent transmission mechanism across many businesses and businesses. In this work we proposed the future innovation of the public distribution system using the blockchain platform. We...
LitStream

Adoption of Blockchain Integrated with Machine Learning in Intelligent Transportation System

Gawas, Mahadev A.; Parab, Aishwarya R.

Pages: 127 –146

[An intelligent transportation System (ITS) is an unconventional application that aims to provide traffic congestion information and emergency information to other vehicles. In ITS, the compilation and distribution of traffic event information by vehicles are of the most extreme significance. To...
LitStream

Empowerment of Internet of Things Through the Integration of Blockchain Technology

Muralidharan, C.; Mohamed Sirajudeen, Y.; Rajkumar, Y.

Pages: 147 –157

[Due to the convergence of advanced technologies, the emergence of electronic things tends to increase tremendously. The Internet of Things (IoT) is the technology where enormous things such as sensors, softwares etc. are embedded together for enabling the connection as well as communication of...
LitStream

Application of Machine Learning Algorithms to Disordered Speech

Mahmoud, Seedahmed S.; Fang, Qiang; Alsulami, Musleh; Kumar, Akshay

Pages: 159 –178

[Aphasia is an acquired neurogenic language/speech disorder that can be assessed with one of the well-known assessment standards, such as the Chinese Rehabilitation Research Center Aphasia Examination (CRRCAE, for Chinese-dialects speaking patients), Aachen Aphasia Test (AAT, for German-speaking...
LitStream

A Deep Analysis on the Role of Deep Learning Models Using Generative Adversarial Networks

Aggarwal, Alankrita; Gaba, Shivani; Nagpal, Shally; Arya, Anoopa

Pages: 179 –197

[A comparatively novel advance field of deep learning is the Generative Adversarial Network called GAN. These different types of networks if they start working in line with each other and work not to get the better of each other but start working keeping arm to arm connected to each other's world...
LitStream

A Mediator Approach for a Semantic Integration of Heterogeneous Proteomics Data Sources

Messaoudi, Chaimaa; Fissoune, Rachida; Badir, Hassan

Pages: 199 –220

[With the advance of high-throughput technologies, biological data sources are growing at an exponential rate. Data integration systems that combine data from heterogeneous sources help biologists to investigate the outcomes of their experiments. However, the heterogeneity of the different data...

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