Robust machine learning modeling for multi-parameter prediction in friction stir welding of naval brass: a case study towards industry 4.0.

Shehzad A, Raza SF, Ikram A, Mehdi AM, Farooq MU, Tlija M

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DOI: 10.1038/s41598-026-49005-0
Published: 2026 May 22
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-49005-0,
  title = {Robust machine learning modeling for multi-parameter prediction in friction stir welding of naval brass: a case study towards industry 4.0.},
  author = {Shehzad A and Raza SF and Ikram A and Mehdi AM and Farooq MU and Tlija M},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-49005-0},
  url = {https://doi.org/10.1038/s41598-026-49005-0}
}

RIS

TY  - JOUR
TI  - Robust machine learning modeling for multi-parameter prediction in friction stir welding of naval brass: a case study towards industry 4.0.
AU  - Shehzad A
AU  - Raza SF
AU  - Ikram A
AU  - Mehdi AM
AU  - Farooq MU
AU  - Tlija M
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-49005-0
UR  - https://doi.org/10.1038/s41598-026-49005-0
ER  -

APA

A, S., SF, R., A, I., AM, M., MU, F., & M, T. (2026). Robust machine learning modeling for multi-parameter prediction in friction stir welding of naval brass: a case study towards industry 4.0.. Scientific reports. https://doi.org/10.1038/s41598-026-49005-0

Source records

pubmed · retrieved 2026-09-27T01:29:32.543Z
europe-pmc · retrieved 2026-09-27T01:29:32.550Z
doaj · retrieved 2026-09-27T01:29:32.554Z