Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Alexander P. Osipov"'
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 16, Iss 2, Pp 431-449 (2024)
Purpose. Recognition of deer individuals by their graphic images based on convolutional neural network models. Research methods and materials. The material for the research was marked images of deer in different habitats, published in the public d
Externí odkaz:
https://doaj.org/article/0751d4e6ac764e5ba561d41a6686df10
Autor:
Alexander L. Osipov
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 15, Iss 6, Pp 452-466 (2023)
Purpose. Development of QSAR models and investigation of their effectiveness for predicting the antifungal activity of 1,2,4-triazole derivatives against Aspergillus flavus, Aspergillus fumigatus and Trichophyton mentagrophytes. Materials and meth
Externí odkaz:
https://doaj.org/article/c401f9238a294a7ba9ad2fbae346fb31
Autor:
Manoj Bhardwaj, Alexander V. Osipov
Publikováno v:
Cubo, Vol 25, Iss 2, Pp 161-172 (2023)
In this paper, we prove that a clopen version $S_1(\mathcal{C}_\mathcal{O}, \mathcal{C}_\mathcal{O})$ of the Rothberger property and Borel strong measure zeroness are independent. For a zero-dimensional metric space $(X,d)$, $X$ satisfies $S_1(\mathc
Externí odkaz:
https://doaj.org/article/afa22337ab694bb79c3dab97b36bd4e2
Autor:
Alexander V. Osipov
Publikováno v:
Applied General Topology, Vol 24, Iss 1, Pp 1-8 (2023)
In this paper we continue to research relationships between closure-type properties of hyperspaces over a space X and covering properties of X. For a Hausdorff space X we denote by 2X the family of all closed subsets of X. We investigate selection pr
Externí odkaz:
https://doaj.org/article/3f760c3ee3cd4a9aafeecf94c23190e5
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 13, Iss 6, Pp 324-338 (2021)
Purpose. Development of QSAR models and investigation of their effectiveness for predicting antifungal activity of 1,2,4-triazole derivatives. Materials and methods. Experimental data on the antifungal activity of 1,2,4-triazole derivatives were u
Externí odkaz:
https://doaj.org/article/f13805e3041e43eca0501690b9b5b775
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 13, Iss 3, Pp 103-118 (2021)
Цель. Разработка модели сверточной нейронной сети для определения внекорневых заболеваний яблонь по фотографиям листьев с мобильного
Externí odkaz:
https://doaj.org/article/c064b5d5937c4819a46f085a2e0e7be6
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 13, Iss 3, Pp 276-287 (2021)
Цель. Разработка эффективных QSAR моделей предсказания антибактериальной активности для производных 1,2,4-триазола. Методы и материалы ис
Externí odkaz:
https://doaj.org/article/69acd149f76e41ef83c1b55f1439953f
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 13, Iss 1, Pp 144-155 (2021)
Цель. Разработка модели сверточной нейронной сети для определения заболеваний маниока по фотографии с мобильного телефона. Методы и м
Externí odkaz:
https://doaj.org/article/7b494edfb7d34c099aef9e58e93249c3
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 12, Iss 5, Pp 11-15 (2020)
The article explores QSPR models for predicting the lypophilicity of chemicals in the adamantane family. The study of the lypophilicity parameter is carried out using the developed nonlinear models using absolute entropy. Computational experiments ha
Externí odkaz:
https://doaj.org/article/ed903ac600b04cb799cb8004136b35ec
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 12, Iss 1, Pp 92-97 (2020)
The article explores QSPR models for predicting the heat capacity of chemicals in the aldehyde family. The study of the heat capacity parameter is carried out using the developed models using the following factors: topological indices; structural des
Externí odkaz:
https://doaj.org/article/8715106865f341be9120bebf6382e85d