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61887 |
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1614-7499 |
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22 |
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61863-61887 |
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Environmental science and pollution research international |
| startingPage |
61863 |
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| bibliographicCitation |
Pacheco VL, Bragagnolo L, Dalla Rosa F, Thomé A. Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology. Environ Sci Pollut Res Int. 2023 May;30(22):61863–87. doi: 10.1007/s11356-023-26362-1. PMID: 36934187. |
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_29eb56ea694e091d6573a896e9943ab1 |
| date |
2023-03-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
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https://pubmed.ncbi.nlm.nih.gov/36934187
https://doi.org/10.1007/s11356-023-26362-1 |
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074 |
| language |
English |
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https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/ |
| title |
Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology |
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http://id.nlm.nih.gov/mesh/M0003155 |
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