APA (7th ed.) Citation

Fathabadi, A., Seyedian, S. M., & Malekian, A. (2022). Comparison of Bayesian, k-Nearest Neighbor and Gaussian process regression methods for quantifying uncertainty of suspended sediment concentration prediction. The Science of the total environment, 818, 151760. https://doi.org/10.1016/j.scitotenv.2021.151760

Chicago Style (17th ed.) Citation

Fathabadi, Aboalhasan, Seyed Morteza Seyedian, and Arash Malekian. "Comparison of Bayesian, K-Nearest Neighbor and Gaussian Process Regression Methods for Quantifying Uncertainty of Suspended Sediment Concentration Prediction." The Science of the Total Environment 818 (2022): 151760. https://doi.org/10.1016/j.scitotenv.2021.151760.

MLA (9th ed.) Citation

Fathabadi, Aboalhasan, et al. "Comparison of Bayesian, K-Nearest Neighbor and Gaussian Process Regression Methods for Quantifying Uncertainty of Suspended Sediment Concentration Prediction." The Science of the Total Environment, vol. 818, 2022, p. 151760, https://doi.org/10.1016/j.scitotenv.2021.151760.