APA (7th ed.) Citation

Moharir, K. N., Pande, C. B., Chakrabortty, R., Pramanik, M., Paneerselvam, B., Katipoğlu, O. M., . . . Elsahabi, M. (2025). A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach. Applied Water Science, 15(7), 1. https://doi.org/10.1007/s13201-025-02521-2

Chicago Style (17th ed.) Citation

Moharir, Kanak N., et al. "A Novel Integrated Approach to Predict the Sodium Absorption Ratio (SAR) of Groundwater Sustainability Using Deep Learning Models and SHAP Approach." Applied Water Science 15, no. 7 (2025): 1. https://doi.org/10.1007/s13201-025-02521-2.

MLA (9th ed.) Citation

Moharir, Kanak N., et al. "A Novel Integrated Approach to Predict the Sodium Absorption Ratio (SAR) of Groundwater Sustainability Using Deep Learning Models and SHAP Approach." Applied Water Science, vol. 15, no. 7, 2025, p. 1, https://doi.org/10.1007/s13201-025-02521-2.