Standard

Computer vision system for the automatic asbestos content control in stones. / Zyuzin, Vasily; Ronkin, Mikhail; Porshnev, Sergey и др.
в: Journal of Physics: Conference Series, Том 1727, № 1, 012014, 19.01.2021.

Результаты исследований: Вклад в журнал › Материалы конференции › Рецензирование

Harvard

Zyuzin, V, Ronkin, M, Porshnev, S & Kalmykov, A 2021, 'Computer vision system for the automatic asbestos content control in stones', Journal of Physics: Conference Series, Том. 1727, № 1, 012014. https://doi.org/10.1088/1742-6596/1727/1/012014

APA

Zyuzin, V., Ronkin, M., Porshnev, S., & Kalmykov, A. (2021). Computer vision system for the automatic asbestos content control in stones. Journal of Physics: Conference Series, 1727(1), [012014]. https://doi.org/10.1088/1742-6596/1727/1/012014

Vancouver

Zyuzin V, Ronkin M, Porshnev S, Kalmykov A. Computer vision system for the automatic asbestos content control in stones. Journal of Physics: Conference Series. 2021 янв. 19;1727(1):012014. doi: 10.1088/1742-6596/1727/1/012014

Author

Zyuzin, Vasily ; Ronkin, Mikhail ; Porshnev, Sergey и др. / Computer vision system for the automatic asbestos content control in stones. в: Journal of Physics: Conference Series. 2021 ; Том 1727, № 1.

BibTeX

@article{e538f550de644d9388752404059acc81,
title = "Computer vision system for the automatic asbestos content control in stones",
author = "Vasily Zyuzin and Mikhail Ronkin and Sergey Porshnev and Alexey Kalmykov",
year = "2021",
month = jan,
day = "19",
doi = "10.1088/1742-6596/1727/1/012014",
language = "English",
volume = "1727",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "Institute of Physics Publishing",
number = "1",
note = "2020 Big Data and Artificial Intelligence Conference, BDAY 2020 ; Conference date: 17-09-2020 Through 18-09-2020",

}

RIS

TY - JOUR

T1 - Computer vision system for the automatic asbestos content control in stones

AU - Zyuzin, Vasily

AU - Ronkin, Mikhail

AU - Porshnev, Sergey

AU - Kalmykov, Alexey

PY - 2021/1/19

Y1 - 2021/1/19

UR - http://www.scopus.com/inward/record.url?scp=85101718585&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1727/1/012014

DO - 10.1088/1742-6596/1727/1/012014

M3 - Conference article

AN - SCOPUS:85101718585

VL - 1727

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012014

T2 - 2020 Big Data and Artificial Intelligence Conference, BDAY 2020

Y2 - 17 September 2020 through 18 September 2020

ER -

ID: 21022089