Výsledky vyhledávání - "Rezaei Mohsen"

Akademický článek

Autor: Rezaei Mohsen, Zeweldi Gebrehiwot Tesfay, Shamim Md Hosne Mobarak, Rochette Martin

Publikováno v: EPJ Web of Conferences, Vol 266, p 11011 (2022)

We demonstrate single-mode ZBLAN optical fiber couplers. A controlled tapering procedure leads to coupling ratios of 5%/95% and 14%/86% at a wavelength of 2200 nm, with insertion losses of 1.6 dB and 1.8 dB, respectively.

Externí odkaz: https://doaj.org/article/077b72a396ac4771b993b750329d5ff0

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Akademický článek

Nonlinear Optical Fiber Couplers Made of Chalcogenide Glass

Autor: Rezaei Mohsen, Shamim Md Hosne Mobarak, El Amraoui Mohammed, Messaddeq Younes, Rochette Martin

Publikováno v: EPJ Web of Conferences, Vol 266, p 11010 (2022)

We demonstrate chalcogenide optical fiber couplers designed with a transmission spectrum response that varies with input power. The measured critical power is as low as 126 W at a wavelength of 1938 nm.

Externí odkaz: https://doaj.org/article/bacdeda592444a16992151b4cf956cc4

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Using various machine learning algorithms for quantitative analysis in Laser induced breakdown spectroscopy

Autor: Rezaei, Mohsen, Rezaei, Fatemeh, Karimi, Parvin

Laser induced breakdown spectroscopy technique is employed for quantitative analysis of aluminum samples by different classical machine learning approaches. A Q-switch Nd:YAG laser at fundamental harmonic of 1064 nm is utilized for creation of LIBS p

Externí odkaz: http://arxiv.org/abs/2304.07786

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A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy

Autor: Rezaei, Fatemeh, Khaliliyan, Pouriya, Rezaei, Mohsen, Karimi, Parvin, Ashrafkhani, Behnam

Recurrent Neural Networks are classes of Artificial Neural Networks that establish connections between different nodes form a directed or undirected graph for temporal dynamical analysis. In this research, the laser induced breakdown spectroscopy (LI

Externí odkaz: http://arxiv.org/abs/2304.08500

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