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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
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Big Data Community Algorithms: Deep Learning for Mapping

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 01 Mar 2022Publisher:Zenodo
Authors: Karimzadeh, Morteza;

doi: 10.5281/zenodo.6320981 , 10.5281/zenodo.6320982

Big Data Community Algorithms: Deep Learning for Mapping

Abstract

In this presentation, I build on an example of sea ice mapping using SAR imagery, and present a wishlist for a community-approach to sharing memory, processing and deep learning (pre-trained) model resources for earth observations.

Related Organizations
Keywords

Earth Observations, Deep Learning, Pre-trained models, SAR, Sea Ice

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selected citations
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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