Zobrazeno 1 - 10
of 1 442
pro vyhledávání: '"A. P. Efremova"'
Autor:
О. I. Sagalova, V. S. Adonieva, S. V. Zotov, D. A. Gusev, E. A. Strebkova, R. B. Galbraikh, V. G. Morozov, I. M. Khayertynova, I. V. Krasilnikova, I. V. Sannikova, A. Bhagat, D. O. Milenin, A. P. Efremova
Publikováno v:
Журнал инфектологии, Vol 15, Iss 2, Pp 47-59 (2023)
Background: Glecaprevir/pibrentasvir (GLE/PIB) is the first pangenotypic ribavirin-free regimen allowing for treatment duration as short as 8 weeks for the majority of patients with chronic hepatitis C (CHC) genotypes (GT) 1 to 6. The results of clin
Externí odkaz:
https://doaj.org/article/389b88fc374c48f6a2ff599607676be3
This paper addresses non-Gaussian regression with neural networks via the use of the Tukey g-and-h distribution.The Tukey g-and-h transform is a flexible parametric transform with two parameters $g$ and $h$ which, when applied to a standard normal ra
Externí odkaz:
http://arxiv.org/abs/2411.07957
Autor:
Zhao, Weiying, Efremova, Natalia
Continuous monitoring of crops and forecasting crop conditions through time series analysis is crucial for effective agricultural management. This study proposes a framework based on an attention Bidirectional Long Short-Term Memory (BiLSTM) network
Externí odkaz:
http://arxiv.org/abs/2407.00834
Soil nitrogen forecasting from environmental variables provided by multisensor remote sensing images
This study introduces a framework for forecasting soil nitrogen content, leveraging multi-modal data, including multi-sensor remote sensing images and advanced machine learning methods. We integrate the Land Use/Land Cover Area Frame Survey (LUCAS) d
Externí odkaz:
http://arxiv.org/abs/2406.09812
Autor:
Zhao, Weiying, Efremova, Natalia
Early detection and management of grapevine diseases are important in pursuing sustainable viticulture. This paper introduces a novel framework leveraging the TabPFN model to forecast blockwise grapevine diseases using climate variables from multi-se
Externí odkaz:
http://arxiv.org/abs/2406.07094
Food security has grown in significance due to the changing climate and its warming effects. To support the rising demand for agricultural products and to minimize the negative impact of climate change and mass cultivation, precision agriculture has
Externí odkaz:
http://arxiv.org/abs/2403.09651
Autor:
Korotkova, Irina, Efremova, Natalia
Crop mapping is one of the most common tasks in artificial intelligence for agriculture due to higher food demands from a growing population and increased awareness of climate change. In case of vineyards, the texture is very important for crop segme
Externí odkaz:
http://arxiv.org/abs/2311.12993
Publikováno v:
Universe. 2023, 9, 481
In the framework of the Einstein-Dirac-aether theory we consider a phenomenological model of the spontaneous growth of the fermion number, which is triggered by the dynamic aether. The trigger version of spinorization of the early Universe is associa
Externí odkaz:
http://arxiv.org/abs/2305.02013
Publikováno v:
EPJC: 81,674(2021)
In the framework of the Einstein-Dirac-axion-aether theory we consider the quartet of self-interacting cosmic fields, which includes the dynamic aether, presented by the unit timelike vector field, the axionic dark mater, described by the pseudoscala
Externí odkaz:
http://arxiv.org/abs/2104.12025
The analysis of satellite imagery will prove a crucial tool in the pursuit of sustainable development. While Convolutional Neural Networks (CNNs) have made large gains in natural image analysis, their application to multi-spectral satellite images (w
Externí odkaz:
http://arxiv.org/abs/2009.07000