Remediation of mine polluted soil with nano-enhanced materials: Development of extreme learning machine approaches
- DOI
- 10.1016/j.chemosphere.2022.135772
- Published
- 2022-11
- Container
- Chemosphere
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.chemosphere.2022.135772,
title = {Remediation of mine polluted soil with nano-enhanced materials: Development of extreme learning machine approaches},
author = {Mingfei Ji and Arwa Abdulkreem AL-Huqail and Ali Majdi and Hui Liu and Imam Ali and Riadh Marzouki},
year = {2022},
journal = {Chemosphere},
doi = {10.1016/j.chemosphere.2022.135772},
url = {https://doi.org/10.1016/j.chemosphere.2022.135772}
}RIS
TY - JOUR TI - Remediation of mine polluted soil with nano-enhanced materials: Development of extreme learning machine approaches AU - Mingfei Ji AU - Arwa Abdulkreem AL-Huqail AU - Ali Majdi AU - Hui Liu AU - Imam Ali AU - Riadh Marzouki PY - 2022 JO - Chemosphere DO - 10.1016/j.chemosphere.2022.135772 UR - https://doi.org/10.1016/j.chemosphere.2022.135772 ER -
APA
Ji, M., AL-Huqail, A. A., Majdi, A., Liu, H., Ali, I., & Marzouki, R. (2022). Remediation of mine polluted soil with nano-enhanced materials: Development of extreme learning machine approaches. Chemosphere. https://doi.org/10.1016/j.chemosphere.2022.135772
Source records
- crossref · retrieved 2026-09-26T00:32:51.487Z