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Presentation . 2022
License: CC BY
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ZENODO
Presentation . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Other literature type . 2022
License: CC BY
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Task 3 - Detect Defects in Electron Microscopy Images

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 29 Jun 2022 English Publisher:ZenodoFunded by:UKRI | Artificial and Augmented ...
Authors: Pirie, Rachael; Dickson, Robert; Lin, Hai; Honore, Ben;

doi: 10.5281/zenodo.6779014 , 10.5281/zenodo.6779015

Task 3 - Detect Defects in Electron Microscopy Images

Abstract

Presentation given by Group 6 (Robert Dickson, Ben Honore, Hai Lin and Rachael Pirie) as part of the AI4SD 2022 ML Summer School. Outlines completion of Hackathon Challenge 3 investigating ML methods to detect defects in images of graphene sheets produced by electron microscopy.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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