Comparative machine learning models for predicting the compressive strength of ultra-high-performance concrete.

Nga NTT, Tuan NA, Tu NT, Dang HT

DOI: 10.1371/journal.pone.0357153
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0357153,
  title = {Comparative machine learning models for predicting the compressive strength of ultra-high-performance concrete.},
  author = {Nga NTT and Tuan NA and Tu NT and Dang HT},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0357153},
  url = {https://doi.org/10.1371/journal.pone.0357153}
}

RIS

TY  - JOUR
TI  - Comparative machine learning models for predicting the compressive strength of ultra-high-performance concrete.
AU  - Nga NTT
AU  - Tuan NA
AU  - Tu NT
AU  - Dang HT
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0357153
UR  - https://doi.org/10.1371/journal.pone.0357153
ER  -

APA

NTT, N., NA, T., NT, T., & HT, D. (2026). Comparative machine learning models for predicting the compressive strength of ultra-high-performance concrete.. PloS one. https://doi.org/10.1371/journal.pone.0357153

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pubmed · retrieved 2026-11-10T10:07:21.567Z