Machine learning application for prediction of sapphire crystals defects

Yulia Vladimirovna Klunnikova, Maxim Vladimirovich Anikeev, Alexey Vladimirovich Filimonov, Ravi Kumar

Open source

DOI: 10.1016/j.jnlest.2020.100029
Published: 03
Container: Journal of Electronic Science and Technology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.jnlest.2020.100029,
  title = {Machine learning application for prediction of sapphire crystals defects},
  author = {Yulia Vladimirovna Klunnikova and Maxim Vladimirovich Anikeev and Alexey Vladimirovich Filimonov and Ravi Kumar},
  year = {2020},
  journal = {Journal of Electronic Science and Technology},
  doi = {10.1016/j.jnlest.2020.100029},
  url = {https://doi.org/10.1016/j.jnlest.2020.100029}
}

RIS

TY  - JOUR
TI  - Machine learning application for prediction of sapphire crystals defects
AU  - Yulia Vladimirovna Klunnikova
AU  - Maxim Vladimirovich Anikeev
AU  - Alexey Vladimirovich Filimonov
AU  - Ravi Kumar
PY  - 2020
JO  - Journal of Electronic Science and Technology
DO  - 10.1016/j.jnlest.2020.100029
UR  - https://doi.org/10.1016/j.jnlest.2020.100029
ER  -

APA

Klunnikova, Y. V., Anikeev, M. V., Filimonov, A. V., & Kumar, R. (2020). Machine learning application for prediction of sapphire crystals defects. Journal of Electronic Science and Technology. https://doi.org/10.1016/j.jnlest.2020.100029

Source records

doaj · retrieved 2026-09-25T21:38:42.136Z