Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Angelina El Ghaziri"'
Autor:
Geoffroy Couasnet, Mathis Cordier, Hadhami Garbouge, Félix Mercier, David Pierre, Angelina El Ghaziri, Pejman Rasti, David Rousseau
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101572- (2023)
We describe Growth Data, a software for seedling growth analysis from time lapse acquired in top view via RGB-Depth low-cost sensors. The software is suited for the observation of young plants during their early developmental stages. Growth Data allo
Externí odkaz:
https://doaj.org/article/96b9bda5d9654dbf873efd0947822525
Autor:
Rayan Eid, Claudine Landès, Alix Pernet, Emmanuel Benoît, Pierre Santagostini, Angelina El Ghaziri, Julie Bourbeillon
Publikováno v:
BioData Mining, Vol 15, Iss 1, Pp 1-30 (2022)
Abstract Background Thanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, in particular when th
Externí odkaz:
https://doaj.org/article/99dc1d8faf6a46c3ab55331d4082a4b8
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 528 (2023)
We propose a mathematical study of the statistics of chlorophyll fluorescence indices. While most of the literature assumes Gaussian distributions for these indices, we demonstrate their fundamental non-Gaussian nature. Indeed, while the noise in the
Externí odkaz:
https://doaj.org/article/f565364abe6e4abbb88637ba06f3992b
Autor:
Rayan Eid, Claudine Landès, Alix Pernet, Emmanuel Benoît, Pierre Santagostini, Angelina El Ghaziri, Julie Bourbeillon
Publikováno v:
BioData mining. 15(1)
Background Thanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, in particular when they regard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52f0a3e75c11b6cfb747e5954553579c
https://pubmed.ncbi.nlm.nih.gov/35379292
https://pubmed.ncbi.nlm.nih.gov/35379292
Publikováno v:
Electrophoresis
Electrophoresis, Wiley-VCH Verlag, 2015, 8 (2), pp.214-235. ⟨10.1285/i20705948v8n2p214⟩
Electrophoresis, Wiley-VCH Verlag, 2015, 8 (2), pp.214-235. ⟨10.1285/i20705948v8n2p214⟩
International audience; A new method for the analysis of a multivariate dataset depending on several factors is proposed. It is called AoV-PLS (Analysis of VariancePLS). It is based on the decomposition of the dataset into the main effects, the inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::79dbc4d7a841e80eb8b1d7f0d7ce5e1e
https://hal.inrae.fr/hal-02635984
https://hal.inrae.fr/hal-02635984
