Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Pierre-Alexandre Hébert"'
Autor:
Ana Barrera, Corinne Binet, Frédéric Dubois, Pierre-Alexandre Hébert, Philippe Supiot, Corinne Foissac, Ulrich Maschke
Publikováno v:
Molecules, Vol 26, Iss 10, p 2873 (2021)
In the present work, the dielectric properties of recycled liquid crystals (LCs) (non-purified, purified, and doped with diamond nanoparticles at 0.05, 0.1, and 0.2 wt%) were investigated. The studied LC mixtures were obtained from industrial recycli
Externí odkaz:
https://doaj.org/article/8b00a9c1be824cc0a3a0b9cafa9222b2
Publikováno v:
Journal of Imaging, Vol 4, Iss 7, p 92 (2018)
Moving foreground detection is a very important step for many applications such as human behavior analysis for visual surveillance, model-based action recognition, road traffic monitoring, etc. Background subtraction is a very popular approach, but i
Externí odkaz:
https://doaj.org/article/c6e6aff882994b61ad26badbb26f2fa6
Autor:
Ana Barrera, Corinne Binet, Frédéric Dubois, Pierre-Alexandre Hébert, Philippe Supiot, Corinne Foissac, Ulrich Maschke
Publikováno v:
Detritus. :55-61
For several decades, Liquid Crystal Displays (LCDs) have been widely used in televisions, laptops, mobile phones, and other devices. Nowadays, liquid crystals (LCs) represent an important economic value of the recycling system of LCDs. The reuse of t
Autor:
Ana Barrera, Corinne Binet, Frédéric Dubois, Pierre-Alexandre Hébert, Philippe Supiot, Corinne Foissac, Ulrich Maschke
Publikováno v:
Journal of Molecular Liquids. 378:121572
Autor:
C Foissac, Philippe Supiot, Ulrich Maschke, Ana Barrera, Pierre-Alexandre Hébert, Corinne Binet, Frédéric Dubois
Publikováno v:
Molecules
Volume 26
Issue 10
Molecules, Vol 26, Iss 2873, p 2873 (2021)
Molecules, 2021, Molecules, 26 (10), pp.2873. ⟨10.3390/molecules26102873⟩
Molecules, MDPI, 2021, Molecules, 26 (10), pp.2873. ⟨10.3390/molecules26102873⟩
Volume 26
Issue 10
Molecules, Vol 26, Iss 2873, p 2873 (2021)
Molecules, 2021, Molecules, 26 (10), pp.2873. ⟨10.3390/molecules26102873⟩
Molecules, MDPI, 2021, Molecules, 26 (10), pp.2873. ⟨10.3390/molecules26102873⟩
International audience; In the present work, the dielectric properties of recycled liquid crystals (LCs) (non-purified, purified, and doped with diamond nanoparticles at 0.05, 0.1, and 0.2 wt%) were investigated. The studied LC mixtures were obtained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f164b99a7fd937e4c82a832f695f96f
http://hdl.handle.net/20.500.12210/55978
http://hdl.handle.net/20.500.12210/55978
Publikováno v:
Journal of Imaging, Vol 4, Iss 7, p 92 (2018)
Journal of Imaging
Volume 4
Issue 7
Journal of Imaging
Volume 4
Issue 7
Moving foreground detection is a very important step for many applications such as human behavior analysis for visual surveillance, model-based action recognition, road traffic monitoring, etc. Background subtraction is a very popular approach, but i
Publikováno v:
Computational Statistics & Data Analysis. 51:335-359
Multidimensional scaling (MDS) is a data analysis technique for representing measurements of (dis)similarity among pairs of objects as distances between points in a low-dimensional space. MDS methods differ mainly according to the distance model used
Publikováno v:
Fuzzy Sets and Systems. 153:1-28
Nonparametric rank-based statistics depending only on linear orderings of the observations are extended to fuzzy data. The approach relies on the definition of a fuzzy partial order based on the necessity index of strict dominance between fuzzy numbe
Publikováno v:
Studies in Computational Intelligence ISBN: 9783642356377
In this paper, we propose a new K-way semi-supervised spectral clustering method able to estimate the number of clusters automatically and then to integrate some limited supervisory information. Indeed, spectral clustering can be guided thanks to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f291f3f6945058bbb40e246c8d972086
https://doi.org/10.1007/978-3-642-35638-4_21
https://doi.org/10.1007/978-3-642-35638-4_21
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783642039683
EANN
EANN
The paper describes a classification method of multidimensional signals, based upon a dissimilarity measure between signals. Each new signal is compared to some reference signals through a conjoint dynamic time warping algorithm of their time feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::591ed97ca29b540c6f3b170681581ffd
https://doi.org/10.1007/978-3-642-03969-0_15
https://doi.org/10.1007/978-3-642-03969-0_15