Výsledky vyhledávání - "Sultonov Azamat"

Akademický článek

Preliminary results of automatic cotton crops mapping using remote sensing data

Autor: Gulyaev Rinat, Sultonov Azamat, Yunusov Ravil, Rafikov Damir, Gulyaeva Kamila, Kimsanbaev Oybek, Kakhkhorov Bakhtiyor

Publikováno v: E3S Web of Conferences, Vol 486, p 04009 (2024)

The paper presents the results of application of the method of automatic generation of representative and unbiased set for in-season cotton crop mapping, based on crop simulation model, previously parameterized using ground truth and satellite data.

Externí odkaz: https://doaj.org/article/8ecad06a6ba64c1ab8c67ea79e4e679d

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Akademický článek

Development of the saw cylinder for gins and linters with use of new elements of the design

Autor: Sultonov Azamat, Agzamov Mirsolikh, Rakhmatov Mashkhur, Agzamov Mirkhosil, Nosirov Khasan

Publikováno v: E3S Web of Conferences, Vol 304, p 03029 (2021)

Article issues of decrease in amplitude of dynamic fluctuations of saw cylinders of gins and linter for the purpose of reduction of a deviation of saws from the plane of rotation and contact with saws of grates are consecrated. Mathematical models fo

Externí odkaz: https://doaj.org/article/6c8bf23f0f164d989437ca9ec73b64b7

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Akademický článek

Results of studies on extending the time operation of gin and linter grates

Autor: Yunusov Salokhiddin, Sultonov Azamat, Rakhmatov Mashkhur, Bobomurotov Tojiddin, Agzamov Mirkhosil

Publikováno v: E3S Web of Conferences, Vol 304, p 03028 (2021)

Results of studies on extending the time operation of gin and linter grates by hardening of the working area by high-frequency current are given in article. Mathematical models for calculation of key parameters of the mode of hardening of the working

Externí odkaz: https://doaj.org/article/695fe6ebc8da43d993d2e0b1e4f5c149

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Report

Low-rank nonnegative tensor approximation via alternating projections and sketching

Autor: Sultonov, Azamat, Matveev, Sergey, Budzinskiy, Stanislav

Publikováno v: Comp. Appl. Math. 42, 68 (2023)

We show how to construct nonnegative low-rank approximations of nonnegative tensors in Tucker and tensor train formats. We use alternating projections between the nonnegative orthant and the set of low-rank tensors, using STHOSVD and TTSVD algorithms

Externí odkaz: http://arxiv.org/abs/2209.02060