Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …

Rainfall forecasting is critical because it is the componen t that has the strongest link to
natural disasters such as landslides, floods, mass movements, and avalanches. The present …

Dams significantly impact river hydrology by changing the timing, size, and frequency of low
and high flows, resulting in a hydrologic regime that differs significantly from the natural flow …

For develo** countries, scarcity of climatic data is the biggest challenge, and model
development with limited meteorological input is of critical importance. In this study, five data …

Abstract Knowledge of the stage-discharge rating curve is useful in designing and planning
flood warnings; thus, develo** a reliable stage-discharge rating curve is a fundamental …

Suspended sediment concentration prediction is critical for the design of reservoirs, dams,
rivers ecosystems, various operations of aquatic resource structure, environmental safety …

Water quality assessment is paramount for environmental monitoring and resource
management, particularly in regions experiencing rapid urbanization and industrialization …

Estimating groundwater levels (GWL) with accuracy and reliability, in order to maximize the
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …

The present research work focused on predicting the electrical conductivity (EC) of surface
water in the Upper Ganga basin using four machine learning algorithms: multilayer …