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Open AccessJournal ArticleDOI

Models used to characterise blockchain features. A systematic literature review and bibliometric analysis

Juan Jesús Rico-Peña, +2 more
- 01 May 2023 - 
- Vol. 123, pp 102711-102711
TLDR
In this article , a broad overview on how blockchain issues have been analytically tackled, through the synthesis and meta-analysis of the models used in the scientific literature since the inception of blockchain technology is provided.
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This article is published in Technovation.The article was published on 2023-05-01 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Blockchain & Computer science.

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References
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.

TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
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Deep learning in neural networks

TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
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Representation Learning: A Review and New Perspectives

TL;DR: Recent work in the area of unsupervised feature learning and deep learning is reviewed, covering advances in probabilistic models, autoencoders, manifold learning, and deep networks.
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