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pro vyhledávání: '"A. Ouahmed"'
Photometric redshift estimation plays a crucial role in modern cosmological surveys for studying the universe's large-scale structures and the evolution of galaxies. Deep learning has emerged as a powerful method to produce accurate photometric redsh
Externí odkaz:
http://arxiv.org/abs/2310.02185
We release photometric redshifts, reaching $\sim$0.7, for $\sim$14M galaxies at $r\leq 20$ in the 11,500 deg$^2$ of the SDSS north and south galactic caps. These estimates were inferred from a convolution neural network (CNN) trained on $ugriz$ stamp
Externí odkaz:
http://arxiv.org/abs/2310.02173
Publikováno v:
A&A 662, A36 (2022)
Deep Learning models have been increasingly exploited in astrophysical studies, yet such data-driven algorithms are prone to producing biased outputs detrimental for subsequent analyses. In this work, we investigate two major forms of biases, i.e., c
Externí odkaz:
http://arxiv.org/abs/2202.09964
Akademický článek
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Akademický článek
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Publikováno v:
Monthly Notices of the Royal Astronomical Society; Jan2024, Vol. 527 Issue 1, p651-671, 21p
Publikováno v:
Current Bioactive Compounds. 19
Introduction: There is growing interest in alternative therapies for managing inflammatory bowel disorders (IBD) that offer efficacy and a suitable safety profile. The present study aimed to evaluate the intestinal anti-inflammatory effect of the alk
Publikováno v:
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2022, 662, pp.A36. ⟨10.1051/0004-6361/202142751⟩
Astronomy and Astrophysics-A&A, 2022, 662, pp.A36. ⟨10.1051/0004-6361/202142751⟩
Deep Learning models have been increasingly exploited in astrophysical studies, yet such data-driven algorithms are prone to producing biased outputs detrimental for subsequent analyses. In this work, we investigate two major forms of biases, i.e., c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::550e88380e96e822c9e054b3bbd23603
http://arxiv.org/abs/2202.09964
http://arxiv.org/abs/2202.09964
Autor:
Ait-Ouahmed, Amine1 (AUTHOR) mohammed-amine.ait-ouahmed@univ-avignon.fr, Josselin, Didier1,2,3 (AUTHOR), Zhou, Fen1,2 (AUTHOR)
Publikováno v:
International Journal of Geographical Information Science. Feb2018, Vol. 32 Issue 2, p367-398. 32p.
Publikováno v:
Journal of Lightwave Technology. 36:637-649
Mixed-line-rate (MLR) optical networks (e.g., 10/40/100 Gb/s) offer a new paradigm in backbone networks to meet the increasing traffic demands. They are considered as a transitional solution for future flexible and dynamic optical networks. In order