Application of artificial intelligence technologies in metallographic analysis for quality assessment in the shipbuilding industry.

Emelianov V, Zhilenkov A, Chernyi S, Zinchenko A, Zinchenko E

Open source

DOI: 10.1016/j.heliyon.2022.e10002
Published: 2022 Aug
Container: Heliyon
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.heliyon.2022.e10002,
  title = {Application of artificial intelligence technologies in metallographic analysis for quality assessment in the shipbuilding industry.},
  author = {Emelianov V and Zhilenkov A and Chernyi S and Zinchenko A and Zinchenko E},
  year = {2022},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2022.e10002},
  url = {https://doi.org/10.1016/j.heliyon.2022.e10002}
}

RIS

TY  - JOUR
TI  - Application of artificial intelligence technologies in metallographic analysis for quality assessment in the shipbuilding industry.
AU  - Emelianov V
AU  - Zhilenkov A
AU  - Chernyi S
AU  - Zinchenko A
AU  - Zinchenko E
PY  - 2022
JO  - Heliyon
DO  - 10.1016/j.heliyon.2022.e10002
UR  - https://doi.org/10.1016/j.heliyon.2022.e10002
ER  -

APA

V, E., A, Z., S, C., A, Z., & E, Z. (2022). Application of artificial intelligence technologies in metallographic analysis for quality assessment in the shipbuilding industry.. Heliyon. https://doi.org/10.1016/j.heliyon.2022.e10002

Source records

pubmed · retrieved 2026-09-27T09:22:50.486Z
europe-pmc · retrieved 2026-09-27T09:22:50.481Z
doaj · retrieved 2026-09-27T09:22:50.504Z