Zobrazeno 1 - 10
of 613
pro vyhledávání: '"OCSR"'
Autor:
Hosseini, S. Esmail, Abdollahi, N.
Publikováno v:
In Optics Communications 1 January 2019 430:304-310
Autor:
Hosseini, S. Esmail, Keshavarz, Heidar
Publikováno v:
In Optical Fiber Technology December 2018 46:104-112
Akademický článek
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Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Accurate recognition of hand-drawn chemical structures is crucial for digitising hand-written chemical information in traditional laboratory notebooks or facilitating stylus-based structure entry on tablets or smartphones. However, the inher
Externí odkaz:
https://doaj.org/article/77c177aaf2b045dbaccca5fae3895814
Autor:
Rajan, Kohulan1 (AUTHOR), Brinkhaus, Henning Otto1 (AUTHOR), Zielesny, Achim2 (AUTHOR), Steinbeck, Christoph1 (AUTHOR) christoph.steinbeck@uni-jena.de
Publikováno v:
Journal of Cheminformatics. 7/5/2024, Vol. 16 Issue 1, p1-11. 11p.
Autor:
N. Abdollahi, S. Esmail Hosseini
Publikováno v:
Optics Communications. 430:304-310
In this paper, a novel approach to realize optical single-sideband (OSSB) modulation with tunable optical carrier-to-sideband ratio (OCSR) is proposed and theoretically demonstrated based on a bidirectional optical phase modulator (PM) in a Sagnac in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f2d5ebc285c15ea114c06a8ca2db79d
https://doi.org/10.1016/j.optcom.2018.08.073
https://doi.org/10.1016/j.optcom.2018.08.073
Autor:
Heidar Keshavarz, S. Esmail Hosseini
Publikováno v:
Optical Fiber Technology. 46:104-112
In this paper a novel optical intensity modulator with tunable optical carrier-to-sideband ratio (OCSR) and adjustable chirp parameter is proposed and theoretically investigated. It is based on a bidirectional phase modulator (PM) and a tunable nonre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2d9cf82e2dddf8225d594cd4c28182e
https://doi.org/10.1016/j.yofte.2018.09.002
https://doi.org/10.1016/j.yofte.2018.09.002
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-7 (2022)
Abstract The development of deep learning-based optical chemical structure recognition (OCSR) systems has led to a need for datasets of chemical structure depictions. The diversity of the features in the training data is an important factor for the g
Externí odkaz:
https://doaj.org/article/096de17f9e9246b2b1b5954e329407d5
Autor:
Lin, Fan, Li, Jianhua
Publikováno v:
Complex & Intelligent Systems; Dec2024, Vol. 10 Issue 6, p7553-7563, 11p
Publikováno v:
Turkish Journal of Electrical Engineering & Computer Sciences. 2021, Vol. 29 Issue 7, p2983-3003. 21p.