Hostname: page-component-848d4c4894-x24gv Total loading time: 0 Render date: 2024-05-11T14:31:01.127Z Has data issue: false hasContentIssue false
  • English
  • Français

Machine Learning Approaches for Analysis of Multiscale Imaging Data for Atmospheric and Soil Particles

Published online by Cambridge University Press:  05 August 2019

Swarup China ,
Sean Colby ,
Anil Krishna Battu  and
Tamas Varga
Swarup China*
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
Sean Colby
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
Anil Krishna Battu
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
Tamas Varga
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
*
*Corresponding author: swarup.china@pnnl.gov

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 194 - 195
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Després, et al. , Tellus B 64 (2012).Google Scholar
[2]China, et al. , Environmental Science & Technology 50 (22) (2016), p. 12179.Google Scholar
[3]Wang, et al. , Nature Geoscience 9 (6) (2016), p. 433.Google Scholar
[4]Fröhlich-Nowoisky, et al. , Proceedings of the National Academy of Sciences 106 (31) (2009), p. 12814.Google Scholar