Zobrazeno 1 - 10
of 6 300
pro vyhledávání: '"A. Efremova"'
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:
Труды по прикладной ботанике, генетике и селекции, Vol 185, Iss 2, Pp 38-49 (2024)
Background. The effect of heavy metal ions can cause ionic stress in plants – the problem of significant interest among researchers. This study was dedicated to the evaluation of genetically modified regenerated soybean lines obtained on nutrient m
Externí odkaz:
https://doaj.org/article/07629483a62d41b0a912dd085da50fc9
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:
Space, Time and Fundamental Interactions, 2023, N1(42), pp. 51-54
We consider dynamics of the quartet of interacting cosmic substrata, which includes the dynamic aether, presented by the unit timelike vector field, the axionic dark matter, described by the pseudoscalar field, the spinor field associated with fermio
Externí odkaz:
http://arxiv.org/abs/2304.07071
Autor:
Olga A. Efremova, Oksana V. Dudchenko, Ludmila A. Kamyshnikova, Tatiana N. Proskokova, Olga A. Bolkhovitina, Ekaterina V. Lysenko
Publikováno v:
Alʹmanah Kliničeskoj Mediciny, Vol 52, Iss 1, Pp 35-44 (2024)
Background: Cognitive impairment (CI) is present in 25–50% of chronic heart failure (CHF) patients. Doctors who monitor patients with cardiovascular disorders do not have clearly set criteria for their referral to a neurologist in case of suspected
Externí odkaz:
https://doaj.org/article/334720ed6b1e47cbabe92cf820153cff
Publikováno v:
Сибирский лесной журнал, Vol 11, Iss 2, Pp 15-20 (2024)
We studied poorly drained sedge-sphagnum pine forests (Pinus sylvetris L.) in the southern taiga subzone of Western Siberia, drained by a network of open shallow channels 25 years ago at the time of the study (geographical coordinates 56°23′71″
Externí odkaz:
https://doaj.org/article/e8d46282912a45a7b40d6a19621e1bdb