Zobrazeno 1 - 10 of 10 pro vyhledávání: '"V. P. Fralenko"'
2
Isolation and analysis of areas of interest of a physician-researcher on MRI data of laboratory animals’ brain
Autor: Mikhail Khachumov, M. V. Shustova, V. P. Fralenko
Publikováno v: Vrach i informacionnye tehnologii. :70-76
The work is devoted to the development of methods for the automatic isolation and analysis of areas of interest for physician-researchers studying the effect of transplanted mesenchymal stem cells on foci of ischemic stroke in laboratory animals. Are
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d28e0fc8e2b20b406231f27f6b51f50
https://doi.org/10.37690/1811-0193-2020-s1-70-76
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4
Tools for Automatically Finding and Visualizing Interest Areas in MRI Data to Support Decision Making by Medical Researchers
Autor: Mikhail Khachumov, M. V. Shustova, V. P. Fralenko
Publikováno v: Scientific and Technical Information Processing. 44:397-405
This article gives a detailed description of the techniques developed by the authors for primary and deep processing of magnetic-resonance imaging that are aimed at detecting areas of ischemic lesion in the rat brain. The tools include the techniques
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2de3d9faacd594482b7463a42008b63
https://doi.org/10.3103/s0147688217060053
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5
Automatic Image Classification for Web Content Filtering: New Dataset Evaluation
Autor: Ilya Tikhomirov, Roman Suvorov, V. P. Fralenko
Publikováno v: Recent Developments and the New Direction in Soft-Computing Foundations and Applications ISBN: 9783319754079
WCSC
The paper presents experimental evaluation of image classification in the field of web content filtering using bag of visual features and convolutional neural networks approach. A more difficult data set than traditionally used ones was built from ve
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b9e6ff2a482411c79df98b0b3f7afee7
https://doi.org/10.1007/978-3-319-75408-6_27
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7
Intellectual technologies in the management of oil fields
Autor: V. P. Fralenko, M. V. Khachumov, V. F. Zadneprovskii
Publikováno v: Scientific and Technical Information Processing. 42:448-454
This work is aimed at developing new approaches and at improvement of control of oil-producing wells and an oilfield as a whole based on artificial intelligence methods. A three-tier system of intelligent oilfield control that ensures optimization of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::007dd69ced07bab227ef9da9051fe58b
https://doi.org/10.3103/s0147688215060131
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8
Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems
Autor: A. A. Talalaev, V. P. Fralenko, I. P. Tishenko, V. M. Khachumov
Publikováno v: Scientific and Technical Information Processing. 38:313-321
The paper summarizes the experience of developing the PS ANN image recognition software system based on artificial neural networks (ANNs). The real abilities of neural networks to solve image recognition, data compression, and extrapolation problems
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83a1505b69ea041dbd84844bec5aa910
https://doi.org/10.3103/s0147688211050091
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9
Multidimensional approximation for modeling and optimization problems
Autor: A. O. Blinov, V. P. Fralenko
Publikováno v: Automation and Remote Control. 70:652-662
It is considered an analytic least squares approximation of function of several variables that participate in the description of control object models and optimization algorithms. As examples of applied problem there are considered helicopter abnorma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1c5b62786741631a3a31a90d0f0b0113
https://doi.org/10.1134/s0005117909040110
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