LeDaphNet: An Automated Assessment of Daphnia magna Populations Using Digital Imaging and Machine Learning

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dc.contributor.authorLagergren, J.H.
dc.contributor.authorMartin, Graedon S.
dc.contributor.authorCollins, Elizabeth N.
dc.contributor.authorBanks, Harvey Thomas
dc.contributor.authorLeBlanc, G. A.
dc.contributor.authorFlores, Kevin
dc.contributor.authorRutter, Erica
dc.date.accessioned2018-09-04T19:59:43Z
dc.date.available2018-09-04T19:59:43Z
dc.date.issued2017
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://projects.ncsu.edu/crsc/reports/ftp/pdf/crsc-tr17-16.pdf
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/35557
dc.language.isoen
dc.publisherNorth Carolina State University. Center for Research in Scientific Computation
dc.relation.ispartofseriesCenter for Research in Scientific Computation technical report
dc.relation.ispartofseriesCRSC-TR17-16
dc.titleLeDaphNet: An Automated Assessment of Daphnia magna Populations Using Digital Imaging and Machine Learning
dc.typeTechnical report

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