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Yuvna Devi Perianen

Dados Biográficos

ID7994675
NOMEYuvna Devi Perianen
PRENOMESYuvna Devi
SOBRENOMEPerianen
ASSINATURAPERIANEN Y D
AFILIAÇÕESZhejiang University
ORCID0000-0002-0515-4223
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H0
  • Probabilistic prediction of algal blooms from basic water quality parameters by Bayesian scale-mixture of skew-normal model

    Open Access•Muyuan Liu, Jing Hu et al.•ARTICLE•Environmental Research Letters•2022

    The timeliness of monitoring is essential to algal bloom management. However, acquiring algal bio-indicators can be time-consuming and laborious, and bloom biomass data often contain a large proportion of extreme values limiting the predictive models. Therefore, to predict algal blooms from readily water quality parameters (i.e. dissolved oxygen, pH, etc), and to provide a novel solution to the modeling challenges raised by the extremely distribu…

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  • Probabilistic prediction of algal blooms from basic water quality parameters by Bayesian scale-mixture of skew-normal model

    Open Access•Muyuan Liu, Jing Hu et al.•ARTICLE•Environmental Research Letters•2022

    The timeliness of monitoring is essential to algal bloom management. However, acquiring algal bio-indicators can be time-consuming and laborious, and bloom biomass data often contain a large proportion of extreme values limiting the predictive models. Therefore, to predict algal blooms from readily water quality parameters (i.e. dissolved oxygen, pH, etc), and to provide a novel solution to the modeling challenges raised by the extremely distribu…

Algal bloom (1 obras) · Artificial Intelligence (1 obras) · Bayesian network (1 obras) · Bayesian probability (1 obras) · Biology (1 obras) · Biomass (ecology (1 obras) · Computer Science (1 obras) · Ecology (1 obras) · Environmental Science (1 obras) · Fish Ecology and Management Studies (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae