Against the grain: Leveraging machine learning to analyze mudbrick structures

Sofia Kouki, Marta Lorenzon, Benjamín Cutillas-Victoria, Achim Lichtenberger, Torben Schreiber, Mkrtich Zardaryan, Anno Hein, Georgios Polymeris

Open source

DOI: 10.1371/journal.pone.0349295
Published: 2026-05-21
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0349295,
  title = {Against the grain: Leveraging machine learning to analyze mudbrick structures},
  author = {Sofia Kouki and Marta Lorenzon and Benjamín Cutillas-Victoria and Achim Lichtenberger and Torben Schreiber and Mkrtich Zardaryan and Anno Hein and Georgios Polymeris},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0349295},
  url = {https://doi.org/10.1371/journal.pone.0349295}
}

RIS

TY  - JOUR
TI  - Against the grain: Leveraging machine learning to analyze mudbrick structures
AU  - Sofia Kouki
AU  - Marta Lorenzon
AU  - Benjamín Cutillas-Victoria
AU  - Achim Lichtenberger
AU  - Torben Schreiber
AU  - Mkrtich Zardaryan
AU  - Anno Hein
AU  - Georgios Polymeris
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0349295
UR  - https://doi.org/10.1371/journal.pone.0349295
ER  -

APA

Kouki, S., Lorenzon, M., Cutillas-Victoria, B., Lichtenberger, A., Schreiber, T., Zardaryan, M., Hein, A., & Polymeris, G. (2026). Against the grain: Leveraging machine learning to analyze mudbrick structures. PLOS One. https://doi.org/10.1371/journal.pone.0349295

Source records

crossref · retrieved 2026-09-25T21:44:13.388Z