Runoff plays an essential part in the hydrological cycle, as it regulates the quantity of water
which flows into streams and returns surplus water into the oceans. Runoff modelling may …

Flood prediction has gained prominence world over due to the calamitous socio-economic
impacts this hazard has and the anticipated increase of its incidence in the near future …

In order to improve the real time forecasting of foods, this paper proposes a modified Takagi
Sugeno (T–S) fuzzy inference system termed as threshold subtractive clustering based …

The use of wavelet transformation in rainfall–runoff modeling has become popular because
of its ability to simultaneously deal with both the spectral and the temporal information …

The imperative of sustainability demands that every decision-making process in building
and designing a hydro power system, analyzes the environmental, political, historical …

The air gasification of Palm Kernel Shells (PKS) using coal bottom ash (CBA) as a catalyst
has been performed in a fixed-bed gasifier. The impact of three process parameters, namely …

This paper demonstrates the potential use of Artificial Intelligence (AI) techniques for
predicting daily runoff at multiple gauging stations. Uncertainty and complexity of the rainfall …

The application of artificial neural network (ANN) to rainfall-runoff simulations has provided
promising results in recent years. However, it is difficult to obtain satisfying results by using …

Accurate forecasting of key hydrological processes, such as rainfall, generally requires the
use of auxiliary predictive hydrological variables. Data requirements can be reduced by …

In this study, a methodology has been developed to emulate a time consuming Monte Carlo
(MC) simulation by using an Artificial Neural Network (ANN) for the assessment of model …