iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts Full article
| Conference |
Catalysis: from Science to Industry : VII International School-Conference for Young Scientists 11-15 Oct 2022 , Томск |
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| Journal |
Kinetics and Catalysis
ISSN: 0023-1584 , E-ISSN: 1608-3210 |
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| Output data | Year: 2023, Volume: 64, Number: 4, Pages: 458–465 Pages count : 8 DOI: 10.1134/S0023158423040092 | ||||
| Tags | deep machine learning; artificial intelligence; microscopy; image analysis; particle analysis | ||||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 22-23-00951 |
Abstract:
The iOk platform was presented, which combines the ParticlesNN web service and the DLgram and No Code ML Telegram bots for automatic search and analysis of objects in images using artificial intelligence. The platform allows one to work with any kind of images (electron, probe, and optical microscopy images and photographs) of any quality without preprocessing. Users can train a neural network on their own on their images. The results of image recognition are objects and their areas, sizes, and positions in the image. The services are in free access, and coding skills are not required to use them. The iOk platform is a user-friendly tool for working with any kind of images by automatically searching for objects and determining their parameters.
Cite:
Nartova A.V.
, Matveev A.V.
, Mashukov M.Y.
, Belotserkovskii V.A.
, Sankova N.N.
, Kudinov V.Y.
, Okunev A.G.
iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts
Kinetics and Catalysis. 2023. V.64. N4. P.458–465. DOI: 10.1134/S0023158423040092 WOS Scopus РИНЦ AN OpenAlex
iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts
Kinetics and Catalysis. 2023. V.64. N4. P.458–465. DOI: 10.1134/S0023158423040092 WOS Scopus РИНЦ AN OpenAlex
Original:
Нартова А.В.
, Матвеев А.В.
, Машуков М.Ю.
, Белоцерковский В.А.
, Санькова Н.Н.
, Кудинов В.Ю.
, Окунев А.Г.
Платформа iOk для автоматического поиска и анализа объектов на изображениях с использованием искусственного интеллекта в изучении нанесенных катализаторов
Кинетика и катализ. 2023. Т.64. №4. С.457-465. DOI: 10.31857/S045388112304010X РИНЦ OpenAlex
Платформа iOk для автоматического поиска и анализа объектов на изображениях с использованием искусственного интеллекта в изучении нанесенных катализаторов
Кинетика и катализ. 2023. Т.64. №4. С.457-465. DOI: 10.31857/S045388112304010X РИНЦ OpenAlex
Dates:
| Submitted: | Nov 22, 2022 |
| Accepted: | Mar 1, 2023 |
| Published online: | Jul 23, 2023 |
| Published print: | Aug 1, 2023 |
Identifiers:
| Web of science: | WOS:001034791000011 |
| Scopus: | 2-s2.0-85165549421 |
| Elibrary: | 54370865 |
| Chemical Abstracts: | 2023:1546935 |
| OpenAlex: | W4385163660 |