Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater potential mapping.
- DOI
- 10.1016/j.chemosphere.2024.142859
- Published
- 2024 Sep
- Container
- Chemosphere
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.chemosphere.2024.142859,
title = {Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater potential mapping.},
author = {Razavi-Termeh SV and Sadeghi-Niaraki A and Farhangi F and Khiadani M and Pirasteh S and Choi SM},
year = {2024},
journal = {Chemosphere},
doi = {10.1016/j.chemosphere.2024.142859},
url = {https://doi.org/10.1016/j.chemosphere.2024.142859}
}RIS
TY - JOUR TI - Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater potential mapping. AU - Razavi-Termeh SV AU - Sadeghi-Niaraki A AU - Farhangi F AU - Khiadani M AU - Pirasteh S AU - Choi SM PY - 2024 JO - Chemosphere DO - 10.1016/j.chemosphere.2024.142859 UR - https://doi.org/10.1016/j.chemosphere.2024.142859 ER -
APA
SV, R., A, S., F, F., M, K., S, P., & SM, C. (2024). Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater potential mapping.. Chemosphere. https://doi.org/10.1016/j.chemosphere.2024.142859
Source records
- pubmed · retrieved 2026-09-25T11:28:58.560Z
- europe-pmc · retrieved 2026-09-25T11:28:58.570Z