Výsledky vyhledávání - "M. V. Shikhman"

Reducing dimensions of the histogram of oriented gradients (HOG) feature vector

Autor: A S Bondarchuk, S Poslavsky, Stanislav Shidlovskiy, M. V. Shikhman

Publikováno v: Journal of Physics: Conference Series. 1611:012072

The article discusses the basic principles of a HOG-descriptor. A method is proposed for reducing dimensions of the feature vector obtained using the HOG-descriptor by applying the convolution operation and converting the resulting values of gradient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c942204b3ed2c5571a79c63a90bd5d0
https://doi.org/10.1088/1742-6596/1611/1/012072

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Adaptive neuro-fuzzy classifier for evaluating the technology effectiveness based on the modified Wang and Mendel fuzzy neural production MIMO-network

Autor: V I Syryamkin, M V Shikhman, S V Gorbachev

Publikováno v: IOP Conference Series: Materials Science and Engineering. 2019. Vol. 516. P. 012037 (1-9)

The paper describes practical results gained during synthesis of the classification model for estimating technology effectiveness when solving multi-criteria problems of expert data analysis (Foresight) aimed to identify technological breakthroughs a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f9f37319be618a33bbd2583b030b94
http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000673319

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Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency

Autor: M V Shikhman, V I Syryamkin, S V Gorbachev

Publikováno v: IOP Conference Series: Materials Science and Engineering. 2019. Vol. 516. P. 012010 (1-6)

The paper presents an example of modeling the algorithm operation. The paper analyses the modified Wang and Mendel MIMO-architecture of the adaptive fuzzy neural production network with a logical conclusion. It is distinguished by the automatic gener

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::601d5ebc56d8cf8ef331a430e528913e
http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000673230

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Methods for robot localization on a map

Autor: Stanislav Shidlovskiy, M. V. Shikhman

Publikováno v: IOP Conference Series: Materials Science and Engineering. 2019. Vol. 516. P. 012057 (1-6)

In many cases, to solve applied problems, the robot needs to know its real location, which is most often different from the data stored in the on-board system. For unmanned robotic devices, as well as for ground-based robots, it is most efficient to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bfe65096aede31e0c30ea594c88ebd0
https://doi.org/10.1088/1757-899x/516/1/012057

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Developing operation algorithms for vision subsystems in autonomous mobile robots

Autor: S. V. Shidlovskiy, M. V. Shikhman

Publikováno v: IOP Conference Series: Materials Science and Engineering. 363:012019

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07e5c51b52973b1409bc8274df37d1fc
https://doi.org/10.1088/1757-899x/363/1/012019

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Thermal Treatment of Industrial Wastewater

Autor: Olga V. Vysokomornaya, M. V. Shikhman, Julia E. Balakhnina

Publikováno v: MATEC Web of Conferences, Vol 23, p 01065 (2015)

The paper provides an overview on the major methods of thermal wastewater treatment in the power industry. Here, we present the main advantages and disadvantages of methods based on the concentration of inorganic substances (evaporation or distillati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e788e0e9dd2944a7bc610e11e196e0b
https://doaj.org/article/282d429fcb7f4649afc23426ed4697ca

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