The sustainable management of water cycles is crucial in the context of climate change and
global warming. It involves managing global, regional, and local water cycles—as well as …

Handling missing values is a critical component of the data processing in hydrological
modeling. The key objective of this research is to assess statistical techniques (STs) and …

(1) Background: In order to solve the problem of missing time-series data due to the
influence of the acquisition system or external factors, a missing time-series data …

Propolis is a promising natural product that has been extensively researched and studied for
its potential health and medical benefits. The lack of requisite high oil-containing propolis …

Accurate estimation of precipitation patterns is essential for the modeling of hydrological
systems and for the planning and management of water resources. However, rainfall time …

Abstract Micro-nutrient viz., zinc (Zn), copper (Cu), iron (Fe) and manganese (Mn) availability
and their transformations have a direct relationship with soil fertility and ecosystem's …

Artificial Intelligence (AI), including models like ChatGPT, is transforming water resources
management by improving hydrological modeling, water quality assessment, and flood …

Incomplete data is a frequent issue in rainfall observation data records which can affect the
results of analysis or modeling using rainfall data. Incompleteness of rainfall data can occur …

Rainfall plays an essential part in numerous aspects of the natural world, including the
environment, ecosystems, human societies, and the global climate system. The lack of …

This study uses Artificial Neural Networks (ANNs) and multiple linear regression (MLR)
models to explore the relationship between gait dynamics and the metabolic cost. Six …