Predicting bioavailability of potentially toxic elements (PTEs) in sediment using various machine learning (ML) models: A case study in Mahabad Dam and River-Iran.

MLA

Rezaei, Fateme, et al. “Predicting Bioavailability of Potentially Toxic Elements (PTEs) in Sediment Using Various Machine Learning (ML) Models: A Case Study in Mahabad Dam and River-Iran.” Journal of Environmental Management, vol. 366, Aug. 2024, p. 121788. EBSCOhost, https://doi.org/10.1016/j.jenvman.2024.121788.

APA

Rezaei, F., Rastegari Mehr, M., Shakeri, A., Sacchi, E., Borna, K., & Lahijani, O. (2024). Predicting bioavailability of potentially toxic elements (PTEs) in sediment using various machine learning (ML) models: A case study in Mahabad Dam and River-Iran. Journal of Environmental Management, 366, 121788. https://doi.org/10.1016/j.jenvman.2024.121788

Chicago

Rezaei, Fateme, Meisam Rastegari Mehr, Ata Shakeri, Elisa Sacchi, Keivan Borna, and Omid Lahijani. 2024. “Predicting Bioavailability of Potentially Toxic Elements (PTEs) in Sediment Using Various Machine Learning (ML) Models: A Case Study in Mahabad Dam and River-Iran.” Journal of Environmental Management 366 (August): 121788. doi:10.1016/j.jenvman.2024.121788.