Summary The use of Artificial Intelligence (AI) has increased since the middle of the 20th
century as seen in its application in a wide range of engineering and science problems. The …

The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …

In the hydrological cycle, rainfall is a major component and plays a vital role in planning and
managing water resources. In this study, new generation deep learning models, recurrent …

Accurate prediction of rainfall is a complex problem because of the large number of
controlling factors, complex interrelationships between them and the multiscaling behaviour …

Deep Learning (DL) is an effective technique for dealing with complex systems. This study
proposes a hybrid DL approach, a combination of one-dimensional Convolutional Neural …

Pier scour phenomena in the presence of debris accumulation have attracted the attention of
engineers to present a precise prediction of the local scour depth. Most experimental studies …

In the past two decades, artificial intelligence algorithms have proved to be promising tools
for solving a multitude of tough scientific problems. Their success is due, in part, to the …

The importance of load forecasting has been increasing lately and improving the use of
energy resources remains a great challenge. The amount of data collected from Microgrid …

Prediction of long-term rainfall patterns is a highly challenging task in the hydrological field
due to random nature of rainfall events. The contribution of monthly rainfall is important in …

The present research examined the potential of two important feature selection methods,
Bayesian Networks (BN) and Recursive Feature Elimination (RFE), in identifying the …