Retraction Note: Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability.
- DOI
- 10.1038/s41598-026-56869-9
- Published
- 2026 Jun 9
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
serious concern Score 10/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-56869-9,
title = {Retraction Note: Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability.},
author = {Chandra SS and Kumar R and Arjunasamy A and Galagali S and Tantri A and Naganna SR},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-56869-9},
url = {https://doi.org/10.1038/s41598-026-56869-9}
}RIS
TY - JOUR TI - Retraction Note: Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability. AU - Chandra SS AU - Kumar R AU - Arjunasamy A AU - Galagali S AU - Tantri A AU - Naganna SR PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-56869-9 UR - https://doi.org/10.1038/s41598-026-56869-9 ER -
APA
SS, C., R, K., A, A., S, G., A, T., & SR, N. (2026). Retraction Note: Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability.. Scientific reports. https://doi.org/10.1038/s41598-026-56869-9
Source records
- pubmed · retrieved 2026-09-25T17:25:23.491Z