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Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing

Crossref DOI link: https://doi.org/10.1016/j.cag.2017.02.005

Published Print: 2017-04

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Authors

Steed, Chad A. https://orcid.org/0000-0002-3501-909X
Halsey, William

Dehoff, Ryan

Yoder, Sean L.

Paquit, Vincent

Powers, Sarah
Funding

Funding for this research was provided by:

U.S. Department of Energy (DE-AC05-00OR22725)

U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office (DE-AC05-00OR22725)

Oak Ridge National Laboratory LDRD (7409)
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Text and Data Mining valid from 2017-04-01

Text and Data Mining valid from 2017-04-01

Accepted Manuscript valid from 2018-02-23
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This article is maintained by: Elsevier

Article Title: Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing

Journal Title: Computers & Graphics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cag.2017.02.005

Content Type: article

Copyright: © 2017 Elsevier Ltd. All rights reserved.