Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts. / Nartova, A. V.; Matveev, A. V.; Mashukov, M. Yu и др.
в: Kinetics and Catalysis, Том 64, № 4, 08.2023, стр. 458-465.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts
AU - Nartova, A. V.
AU - Matveev, A. V.
AU - Mashukov, M. Yu
AU - Belotserkovskii, V. A.
AU - Sankova, N. N.
AU - Kudinov, V. Yu
AU - Okunev, A. G.
N1 - The work was supported by the Russian Science Foundation (project no. 22-23-00951, https://rscf.ru/project/22-23-00951/). We are grateful to L.M. Kovtunova for the preparation of supported catalysts on porous supports, as well as to colleagues from the Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia, in particular, E. Yu. Gerasimov for TEM imaging. Публикация для корректировки.
PY - 2023/8
Y1 - 2023/8
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - deep machine learning
KW - image analysis
KW - microscopy
KW - particle analysis
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85165549421&origin=inward&txGid=b2180b0fa511690bee069561feefde04
UR - https://www.mendeley.com/catalogue/6b4d0017-47fd-3e97-8aed-51b4e949603e/
U2 - 10.1134/S0023158423040092
DO - 10.1134/S0023158423040092
M3 - Article
VL - 64
SP - 458
EP - 465
JO - Kinetics and Catalysis
JF - Kinetics and Catalysis
SN - 0023-1584
IS - 4
ER -
ID: 59557481