Zobrazeno 1 - 8
of 8
pro vyhledávání: '"El Mostafa Fadaili"'
Autor:
M. Le Moigne, Clara Rey-Caramés, El Mostafa Fadaili, Javier Tardáguila, Maria P. Diago, Zoran G. Cerovic
Publikováno v:
Australian Journal of Grape and Wine Research. 22:438-449
Background and Aims Optical sensors can accomplish frequent and spatially widespread non-destructive monitoring of plant nutrient status. The main goal was to calibrate a fluorescence sensor, used both manually (MXH) and on-the-go (MXM), for the asse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d29a2b168003bf74144fdcf750d6f2a
https://doi.org/10.1111/ajgw.12228
https://doi.org/10.1111/ajgw.12228
Autor:
El Mostafa Fadaili, Huy Khoa Nguyen, Gwendal Latouche, Naïma Ben Ghozlen, Zoran G. Cerovic, Marine Le Moigne
Publikováno v:
Computers and Electronics in Agriculture. 103:122-126
In viticulture and especially for red wine production it is important to know the grape quality. Anthocyanins, the red pigments of berry skins that define the colour of wines, are good indicators of the so-called phenolic maturity of grapes. We provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::901ff4d0fd759dae6ca3cdbca1e2d271
https://doi.org/10.1016/j.compag.2014.02.012
https://doi.org/10.1016/j.compag.2014.02.012
Autor:
El Mostafa Fadaili, C.J. Hinze, M. Le Moigne, L. Florin, Zoran G. Cerovic, Rob Bramley, Jackie Ouzman, S. Evain
Publikováno v:
Australian Journal of Grape and Wine Research. 17:316-326
Background and Aims: The development and adoption of Precision Viticulture approaches to grape and wine production have been hindered by the lack of a commercially available sensor for on-the-go sensing of fruit quality during harvest. In this work,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad0286bbc57090ec931cab2b65635242
https://doi.org/10.1111/j.1755-0238.2011.00158.x
https://doi.org/10.1111/j.1755-0238.2011.00158.x
Autor:
Regine Trebossen, Claude Comtat, El Mostafa Fadaili, Renaud Maroy, Véronique Gaura, Antoine Souloumiac, Avner Bar-Hen, Maria Ribeiro, Paolo Zanotti-Fregonara, Sébastien Jan
Publikováno v:
Journal of Cerebral Blood Flow & Metabolism. 29:1825-1835
The aim of this study was to compare eight methods for the estimation of the image-derived input function (IDIF) in [18F]-FDG positron emission tomography (PET) dynamic brain studies. The methods were tested on two digital phantoms and on four health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fc992056dc29b89bf212a8516bd7a3f
https://doi.org/10.1038/jcbfm.2009.93
https://doi.org/10.1038/jcbfm.2009.93
Publikováno v:
Independent Component Analysis and Signal Separation ISBN: 9783540744931
ICA
ICA
This paper deals with the problem of the blind separation of convolutive mixtures of sources. We present a novel method based on a new non orthogonal joint block diagonalization algorithm (NO - JBD) of a given set of matrices. The main advantages of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42ba164552828a20a9b8cbb56657b16
https://doi.org/10.1007/978-3-540-74494-8_25
https://doi.org/10.1007/978-3-540-74494-8_25
Publikováno v:
ICASSP (4)
This paper is concerned with blind separation of source signals using time-frequency representations. We show that the separation can be realized through the non-orthogonal joint zero diagonalization of spatial quadratic time frequency matrices. One
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fc7a476eecdaa2cbb5acf8bce8c3d32
https://doi.org/10.1109/icassp.2005.1416004
https://doi.org/10.1109/icassp.2005.1416004
Publikováno v:
IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.
This communication is concerned with blind separation of instantaneous mixtures of source signals based on the use of spatial quadratic time-frequency (spectrum) distributions. First, we propose a new algorithm to perform the non orthogonal joint zer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eac9a3c98c53ab9b9c1acb365e19f351
https://doi.org/10.1109/ssp.2005.1628763
https://doi.org/10.1109/ssp.2005.1628763
Publikováno v:
Independent Component Analysis and Blind Signal Separation ISBN: 9783540230564
ICA
ICA
The paper is devoted to blind separation of deterministic source signals based on time-frequency representations. Our main result is to show that the joint-diagonalization of a number of spatial quadratic transform matrices of the observation signals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3180eb39e8725fa9d874b1f41d7ecd6
https://doi.org/10.1007/978-3-540-30110-3_47
https://doi.org/10.1007/978-3-540-30110-3_47