There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

Water temperature is one of the most important indicators of aquatic system, and accurate
forecasting of water temperature is crucial for rivers. It is a complex process to accurately …

Considering heterogeneities and difficulties in the classification of underwater passive
targets, this paper proposes the use of Local Wavelet Acoustic Pattern (LWAP) and Multi …

Prediction of rivers and lakes water temperature plays an important role in hydrology,
ecology, and water resources planning and management. Recently, machines learning …

In recent years, with the rapid socio-economic development of the Yellow River Delta (YRD),
the pressure on the supply of water resources has continued to rise. The development of oil …

River water temperature is a key control of many physical and bio-chemical processes in
river systems, which theoretically depends on multiple factors. Here, four different machine …

A number of methods have been proposed for the prediction of streamwater temperature
based on various meteorological and hydrological variables. The present study shows a …

The streamflows are important and effective factors in stream ecosystems and its accurate
prediction is an essential and important issue in water resources and environmental …

Due to the benefits of the early prediction of concrete slump, introducing an efficient model
for this purpose is of great importance. Considering this motivation, four strong metaheuristic …

Splitting tensile strength (STS) is an important mechanical parameter of concrete. This study
offers novel methodologies for the early prediction of this parameter. Artificial neural network …