Articles citing this article

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Cited article:

Utilizing soil–water characteristic curve parameters in custom artificial neural network models to predict the unsaturated hydraulic conductivity

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Discover Artificial Intelligence 5 (1) (2025)
https://doi.org/10.1007/s44163-025-00410-w

A framework for estimating the matric suction in unsaturated soils using multiple artificial intelligence techniques

Junjie Wang and Sai Vanapalli
International Journal for Numerical and Analytical Methods in Geomechanics 48 (11) 2854 (2024)
https://doi.org/10.1002/nag.3755

A pore network modeling approach to bridge void ratio‐dependent soil water retention and unsaturated hydraulic conductivity curves

Rasoul Mirghafari, Seyed Sajjad Sajjadian, Ehsan Nikooee, Ghassem Habibagahi and Amir Raoof
Engineering Reports 6 (12) (2024)
https://doi.org/10.1002/eng2.13012

Estimation of Hydraulic Parameters from the Soil Water Characteristic Curve

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Sustainability 15 (8) 6714 (2023)
https://doi.org/10.3390/su15086714

Interrelationship among weathering degree, pore distribution and water retention in an unsaturated gneissic residual soil

Regina Tavares Delcourt, Tácio Mauro Pereira de Campos and Franklin dos Santos Antunes
Engineering Geology 299 106570 (2022)
https://doi.org/10.1016/j.enggeo.2022.106570