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Journal Article |
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82989 |
| issn |
1614-7499 |
| issueIdentifier |
34 |
| pageRange |
82964-82989 |
| publicationName |
Environmental science and pollution research international |
| startingPage |
82964 |
| bibliographicCitation |
Moayedi H, Dehrashid AA. A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping. Environ Sci Pollut Res Int. 2023 Jul;30(34):82964–89. doi: 10.1007/s11356-023-28133-4. PMID: 37336850. |
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bd424c389fc4c138ca35d1a717e7f1fb |
| date |
2023-06-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/37336850
https://doi.org/10.1007/s11356-023-28133-4 |
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https://portal.issn.org/resource/ISSN/1614-7499
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074 |
| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/ |
| title |
A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping |
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http://id.nlm.nih.gov/mesh/D055876 |
| hasSubjectTerm |
http://id.nlm.nih.gov/mesh/D000465
http://id.nlm.nih.gov/mesh/D040362
http://id.nlm.nih.gov/mesh/D015233
http://id.nlm.nih.gov/mesh/D016571
http://id.nlm.nih.gov/mesh/D016208 |
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