Timely and reliable water footprint prediction is imperative and prerequisite to mitigate
climate risk and ensure water and food security and enhance the water-use efficiency. This …

Jet aeration is a commonly used technique for introducing air into water during wastewater
treatment. In this investigation, the efficacy of different soft computing models, namely …

Urban groundwater resources (GWRs) have declined substantially in recent decades, due to
rapid urbanization, population growth, groundwater exploitation, land use/land cover …

Aeration is a physical process through which air is brought into contact with water, and
thereby both times of contact and contact area between water and air are enhanced. Gabion …

Since soft computing has gained a lot of attention in hydrological studies, this study focuses
on predicting aeration efficiency (E 20) using circular plunging jets employing soft computing …

The gabion weirs serve the same functions that their counterpart impervious weirs do.
However, they have the advantage of being eco-friendly, more stable, and economical in …

Purpose: Experimental investigations assessment and comparison of different classical
models and machine learning models employed with Gaussian process regression (GPR) …

Purpose: The present study aims to apply soft computing techniques, Artificial Neural
Network (ANN) and M5P model tree, to predict the ultimate bearing capacity of the H plan …

Accurate prediction of reference evapotranspiration (ET 0) is crucial for climate change
mitigation, water resources management, and agricultural activities. Therefore, this study …

Purpose: To evaluate and compare the capability of ANFIS (Adaptive Neuro-Fuzzy-Inference
System), ANN (Artificial Neural Network), and MNLR (Multiple Non-linear Regression) …