River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Accurate prediction of river discharge is critical for a wide range of sectors, from human
activities to environmental hazard management, especially in the face of increasing demand …

It is vital to provide useful hydrological forecasts for urban and agricultural water
management, hydropower generation, flood protection and management, drought mitigation …

In recent years, deep learning (DL) methods, such as recurrent neural networks (RNN). have
been used for streamflow prediction. In this study, the monthly inflow into the Dez Dam …

Irrigation plays a crucial role in maize cultivation, as watering is essential for optimizing crop
yield and quality, particularly given maize's sensitivity to soil moisture variations. In the …

Rainfall is a vital process in the hydrological cycle of the globe. Accessing reliable and
accurate rainfall data is crucial for water resources operation, flood control, drought warning …

In both industrial and residential contexts, compressor-based machines, such as
refrigerators, HVAC systems, heat pumps and chillers, are essential to fulfil production and …

Predicting water levels in glacier-fed lakes is vital for water resource management, flood
forecasting, and ecological balance. This study examines the predictive capacity of multiple …

This study focuses on developing an hourly water level prediction model for small-and
medium-sized agricultural reservoirs using the Tree-based Pipeline Optimization Tool …

The prediction of tap water quality serves as a pivotal component in enhancing water
resource management. The intricate nonlinearity and inherent instability in water quality …