Article Versions Notes

Etsias G, Hamill GA, Benner EM, Águila JF, McDonnell MC, Flynn R, Ahmed AA. Optimizing Laboratory Investigations of Saline Intrusion by Incorporating Machine Learning Techniques. Water. 2020; 12(11):2996. https://doi.org/10.3390/w12112996

Etsias, Georgios, Gerard A. Hamill, Eric M. Benner, Jesús F. Águila, Mark C. McDonnell, Raymond Flynn, and Ashraf A. Ahmed. 2020. "Optimizing Laboratory Investigations of Saline Intrusion by Incorporating Machine Learning Techniques" Water 12, no. 11: 2996. https://doi.org/10.3390/w12112996

Etsias, G., Hamill, G. A., Benner, E. M., Águila, J. F., McDonnell, M. C., Flynn, R., & Ahmed, A. A. (2020). Optimizing Laboratory Investigations of Saline Intrusion by Incorporating Machine Learning Techniques. Water, 12(11), 2996. https://doi.org/10.3390/w12112996