River ice breakup can affect most rivers in cold climate during winter, posing a serious threat
of Ice-Jam Floods (IJFs) to riverine communities. IJFs are challenging to predict due to their …

Accurate runoff forecasting plays a key role in catchment water management and water
resources system planning. To improve the prediction accuracy, one needs to strive to …

The establishment of reliable water level prediction models is vital for urban flood control
and planning. In this paper, we develop hybrid models (GA-XGBoost and DE-XGBoost) that …

The estimation of qualitative and quantitative groundwater parameters is an essential task.
In this regard, artificial intelligence (AI) techniques are extensively utilized as accurate …

In this study, a hybrid model integrating the ant colony optimization (ACO) algorithm and
fuzzy c-means (FCM) clustering method into the adaptive neuro-fuzzy inference system …

In this study, the groundwater parameters including electrical conductivity (EC), salinity, total
dissolved solids (TDS) and groundwater level (GWL) for a 15-year time series (from 2002 to …

Accurate prediction of the unsaturated hydraulic conductivity (K) is necessary to check the
feasibility of the artificial and natural groundwater recharge. In this study, one artificial …

Addressing crime detection, cyber security and multi-modal gaze estimation in biometric
information recognition is challenging. Thus, trained artificial intelligence (AI) algorithms …

Accurate prediction of the cross-sectional profile of stable alluvial channels is very important
for hydraulic engineers in the design and construction of natural channels in urban …

Accurately forecasted reservoir water level is among the most vital data for efficient reservoir
structure design and management. In this study, the group method of data handling is …