Precipitation (PP) prediction is an interesting topic in the meteorology or hydrology field
since it is directly related to agriculture, the management of water resources in hydrologic …

The fourth industrial revolution essential components which include cloud computing
technology, artificial intelligence, big data, and the internet of things has also been affecting …

Atmospheric processes from which rainfall is formed are complex and cannot be accurately
predicted using mathematical or statistical models. In this paper, the backpropagation neural …

This book is motivated by the large gap between the black-box nature of deep learning
architectures and the human interpretability of the knowledge models they encode. It is …

The aim of this paper is to investigate the ability of artificial neural network (ANN) models for
post-processing the monthly precipitation forecasts under North American multi-model …

Weather forecasting is a natural phenomenon which has some chaotic changes happening
with the passage of time. It has become an essential topic of research due to some abrupt …

The advent of machine learning, of which artificial neural networks (ANN) are a component,
has provided an opportunity for improved rainfall forecasts, which is of value for water …

Rainfall is perhaps the most important source of drinking and agriculture water for the
inhabitants of different parts of the world, particularly in arid and semi-arid area like Iran …

Drought is a natural disaster that occurs slowly and lasts a long time. Bantul and Gunung
Kidul Regencies, Special Region of Yogyakarta are also areas affected by high drought risk …

Dhaka is a crowded megacity in Bangladesh. The growing populations are exhausted with
air pollutions caused by vehicles, brick factories, power plants, and industries. Recent …