Zobrazeno 1 - 10
of 6 371
pro vyhledávání: '"A, EFREMOVA"'
Autor:
Efremova, Maria V., Boer, Lotte, Edelmann, Laurenz, Ruijs, Lieke, Li, Jianing, Verschuuren, Marc A., Lavrijsen, Reinoud
Particles with high anisotropy in their magnetic properties and shape are of increasing interest for mechanobiology, where transducing a remotely applied magnetic field vector to a local mechanical response is crucial. An outstanding challenge is qua
Externí odkaz:
http://arxiv.org/abs/2412.17516
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:
Известия высших учебных заведений: Прикладная нелинейная динамика, Vol 32, Iss 6, Pp 796-815 (2024)
The purpose of this work is to describe two important types of limit sets of the most simple skew products of interval maps, the phase space of each of which is a compact n-dimensional cell (n ≥ 2): firstly, a non-wandering set and, secondly, ω-li
Externí odkaz:
https://doaj.org/article/aca6b31926c54cbead6af1fcfa83d7ca
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
Autor:
D. V. Kustova, E. V. Motyko, A. N. Kirienko, T. N. Gert, I. V. Leppyanen, M. P. Bakay, E. V. Efremova, E. V. Morozova, E. G. Lomaia, V. A. Shuvaev, S. V. Sidorkevich, I. S. Martynkevich
Publikováno v:
Онкогематология, Vol 19, Iss 3, Pp 45-60 (2024)
Background. Most patients with chronic myeloid leukemia (CML) treated with tyrosine kinase inhibitors achieve durable optimal responses. Loss of the achieved molecular response is observed in 15–30 % of patients. Mutations in the BCR::ABL kinase do
Externí odkaz:
https://doaj.org/article/521725f71f1941fc829156dab8fb0afe