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Application of machine learning and multivariate approaches..:
Tapos Kumar Chakraborty
;
Most. Zaima Mobaswara
;
Md. Simoon Nice
...
http://www.sciencedirect.com/science/article/pii/S1470160X23009986. , 2023
Link:
https://doi.org/10.1016/j.ecolind.2023.110856
RT Journal T1
Application of machine learning and multivariate approaches for source apportionment and risks of hazardous elements in the cropland soils near industrial areas in Bangladesh
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f41922c1b75a4487a37ef8998aae80cb&Exemplar=1&LAN=DE A1 Tapos Kumar Chakraborty A1 Most. Zaima Mobaswara A1 Md. Simoon Nice A1 Khandakar Rashedul Islam A1 Baytune Nahar Netema A1 Md. Sozibur Rahman A1 Ahsan Habib A1 Samina Zaman A1 Gopal Chandra Ghosh A1 Khadiza Tul-Coubra A1 Asadullah Munna A1 Md Shahnul Islam A1 Md Ripon Hossain A1 Sujoy Sen A1 Monishanker Halder A1 Abu Shamim Khan PB Elsevier YR 2023 K1 Hazardous elements K1 Agricultural soil K1 Public and ecological health K1 Pollution K1 Machine learning approaches K1 Ecology K1 QH540-549.5 JF http://www.sciencedirect.com/science/article/pii/S1470160X23009986 LK http://dx.doi.org/https://doi.org/10.1016/j.ecolind.2023.110856 DO https://doi.org/10.1016/j.ecolind.2023.110856 SF ELIB - SuUB Bremen
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