Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring (2015)
- Authors:
- USP affiliated authors: CESAR JUNIOR, ROBERTO MARCONDES - IME ; LOPES, RUBENS MENDES - IO
- Unidades: IME; IO
- DOI: 10.1002/lom3.10058
- Subjects: VISÃO COMPUTACIONAL; PROCESSAMENTO DE IMAGENS; PLÂNCTON
- Language: Inglês
- Imprenta:
- Source:
- Título: Limnology and Oceanography: Methods
- ISSN: 1541-5856
- Volume/Número/Paginação/Ano: v. 13, n. 12, p. 687–696. dec. 2015
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MATUSZEWSKI, Damian Janusz et al. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring. Limnology and Oceanography: Methods, v. 13, n. 12, p. 687–696. dec. 2015, 2015Tradução . . Disponível em: https://doi.org/10.1002/lom3.10058. Acesso em: 21 jan. 2026. -
APA
Matuszewski, D. J., César Júnior, R. M., Strickler, J. R., Baldasso, L. F., & Lopes, R. M. (2015). Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring. Limnology and Oceanography: Methods, 13( 12), 687–696. dec. 2015. doi:10.1002/lom3.10058 -
NLM
Matuszewski DJ, César Júnior RM, Strickler JR, Baldasso LF, Lopes RM. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring [Internet]. Limnology and Oceanography: Methods. 2015 ; 13( 12): 687–696. dec. 2015.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1002/lom3.10058 -
Vancouver
Matuszewski DJ, César Júnior RM, Strickler JR, Baldasso LF, Lopes RM. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring [Internet]. Limnology and Oceanography: Methods. 2015 ; 13( 12): 687–696. dec. 2015.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1002/lom3.10058 - Visual rhythm-based plankton detection method for ballast water quality assessment
- Visual rhythm-based method for continuous plankton monitoring
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Informações sobre o DOI: 10.1002/lom3.10058 (Fonte: oaDOI API)
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