Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lyubov Grishina"'
Autor:
Ekaterina Pashkina, Alina Aktanova, Olga Boeva, Maria Bykova, Elena Gavrilova, Elena Goiman, Ekaterina Kovalenko, Na’il Saleh, Lyubov Grishina, Vladimir Kozlov
Publikováno v:
Pharmaceutics, Vol 16, Iss 1, p 127 (2024)
Cucurbiturils are a family of macrocyclic oligomers capable of forming host–guest complexes with various molecules. Due to noncovalent binding to drug molecules and low toxicity, cucurbiturils has been extensively investigated as potential carriers
Externí odkaz:
https://doaj.org/article/951bd414806e47e48f1353301f4ae416
Publikováno v:
Engineering Proceedings, Vol 33, Iss 1, p 41 (2023)
The rapid growth in the volume of medical data is pushing the development and implementation of artificial intelligence (AI) tools. One of the directions of the application of AI in the field of healthcare is the use of natural language processing me
Externí odkaz:
https://doaj.org/article/9af4b968fa07435eaccfa1059fd1f7f0
Autor:
Alina Aktanova, Tatjana Abramova, Ekaterina Pashkina, Olga Boeva, Lyubov Grishina, Ekaterina Kovalenko, Vladimir Kozlov
Publikováno v:
Nanomaterials, Vol 11, Iss 6, p 1356 (2021)
Currently, cucurbiturils are being actively researched all over the world. Research is focused on the ways of improving the solubility and selectivity of cucurbiturils, increasing the stability of the complexes with other particles in various media a
Externí odkaz:
https://doaj.org/article/1bf324a57fc74d4e889337022b833d6b
Prediction of milk quantitative traits based on infrared spectroscopy using machine-learning methods
Publikováno v:
Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics. 22:47-56
Fourier transform mid-infrared spectroscopy is a fast and cheap way to analyze cow's milk samples to determine fat, protein, lactose and other quantitative and qualitative indicators of milk quality. Modern tools for data analysis will reveal the rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abb2ddeea88c3099337a113e86e3b373
https://doi.org/10.14529/ctcr220305
https://doi.org/10.14529/ctcr220305
Publikováno v:
2021 International Conference Engineering and Telecommunication (En&T).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2dfcb39828686ab433277cd58ed1949
https://doi.org/10.1109/ent50460.2021.9681796
https://doi.org/10.1109/ent50460.2021.9681796
Publikováno v:
2021 29th Telecommunications Forum (TELFOR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3a9f605b08274bb609babae06259373
https://doi.org/10.1109/telfor52709.2021.9653295
https://doi.org/10.1109/telfor52709.2021.9653295
Publikováno v:
2021 International Russian Automation Conference (RusAutoCon).
This article discusses the problem of increasing the efficiency of machine learning methods in identifying attacks in the VANET network by expanding the feature space using Feature Engineering methods. The main idea of this work is to generate new fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ace23952630416f46d8b73e4840f4571
https://doi.org/10.1109/rusautocon52004.2021.9537464
https://doi.org/10.1109/rusautocon52004.2021.9537464