PDF, I. (2024). A random forest approach to improve estimates of tributary nutrient loading. Water research, 248, 120876. https://doi.org/10.1016/j.watres.2023.120876
Chicago Style (17th ed.) CitationPDF, Isles. "A Random Forest Approach to Improve Estimates of Tributary Nutrient Loading." Water Research 248 (2024): 120876. https://doi.org/10.1016/j.watres.2023.120876.
MLA (9th ed.) CitationPDF, Isles. "A Random Forest Approach to Improve Estimates of Tributary Nutrient Loading." Water Research, vol. 248, 2024, p. 120876, https://doi.org/10.1016/j.watres.2023.120876.
Warning: These citations may not always be 100% accurate.