Since the middle of the twentieth century, artificial intelligence (AI) models have been used
widely in engineering and science problems. Water resource variable modeling and …

Long lead-time streamflow forecasting is of great significance for water resources planning
and management in both the short and long terms. Despite of some studies using machine …

The paper explores the usefulness of hybridizing two distinct nature inspired computational
intelligence techniques viz., Artificial Neural Networks (ANN) and Genetic Algorithms (GA) …

Enormous cost and manpower utilization encountered in constructing a water resource
project demands a great deal of attention in devising precise Rainfall-Runoff models for its …

Management strategies for sustainable sugarcane production need to deal with the
increasing complexity and variability of the whole sugar system. Moreover, they need to …

In this paper, artificial neural network (ANN) was used for statistically downscale the outputs
of general circulation models (GCMs) to assess future changes of precipitation and mean …

Flash flood is a recurrent natural hazard with substantial impacts in the Southeast US
(SEUS) due to the frequent torrential rainfalls that occur in the region, which are triggered by …

Deep neural network (DNN) models have become increasingly popular in the hydrology
community. However, most studies are related to (rainfall-) runoff simulation and …

Cancer is one of the leading causes of morbidity and mortality worldwide with increasing
prevalence. Breast cancer is the most common type among women, and its early diagnosis …

Existing forecasting methods employed for rainfall forecasting encounter many limitations,
because the difficulty of the underlying mathematical proceeding in dealing with the …