APA (7th ed.) Citation

Ngouna, R. H., Ratolojanahary, R., Medjaher, K., Dauriac, F., Sebilo, M., & Junca-Bourié, J. (2020). A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values. Engineering applications of artificial intelligence, 95, 103822. https://doi.org/10.1016/j.engappai.2020.103822

Chicago Style (17th ed.) Citation

Ngouna, Raymond Houé, Romy Ratolojanahary, Kamal Medjaher, Fabien Dauriac, Mathieu Sebilo, and Jean Junca-Bourié. "A Data-driven Method for Detecting and Diagnosing Causes of Water Quality Contamination in a Dataset with a High Rate of Missing Values." Engineering Applications of Artificial Intelligence 95 (2020): 103822. https://doi.org/10.1016/j.engappai.2020.103822.

MLA (9th ed.) Citation

Ngouna, Raymond Houé, et al. "A Data-driven Method for Detecting and Diagnosing Causes of Water Quality Contamination in a Dataset with a High Rate of Missing Values." Engineering Applications of Artificial Intelligence, vol. 95, 2020, p. 103822, https://doi.org/10.1016/j.engappai.2020.103822.