APA (7th ed.) Citation

Mallick, J., Talukdar, S., & Ahmed, M. (2022). Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed, Saudi Arabia. Applied Water Science, 12(4), 1. https://doi.org/10.1007/s13201-022-01599-2

Chicago Style (17th ed.) Citation

Mallick, Javed, Swapan Talukdar, and Mohd Ahmed. "Combining High Resolution Input and Stacking Ensemble Machine Learning Algorithms for Developing Robust Groundwater Potentiality Models in Bisha Watershed, Saudi Arabia." Applied Water Science 12, no. 4 (2022): 1. https://doi.org/10.1007/s13201-022-01599-2.

MLA (9th ed.) Citation

Mallick, Javed, et al. "Combining High Resolution Input and Stacking Ensemble Machine Learning Algorithms for Developing Robust Groundwater Potentiality Models in Bisha Watershed, Saudi Arabia." Applied Water Science, vol. 12, no. 4, 2022, p. 1, https://doi.org/10.1007/s13201-022-01599-2.