This article analyzes six probability distributions from the Generalized Pareto family, with
three, four and five parameters, with the main purpose of identifying other distributions from …

This manuscript presents three families of distributions, namely the Beta, Beta Prime and
Beta Exponential families of distributions. From all the distributions of these families, 14 …

The accurate prediction of soybean yield is of great significance for agricultural production,
monitoring and early warning. Although previous studies have used machine learning …

Despite the evidence that shows the benefits and safety of immunizations, the widespread
vaccine-related misinformation and conspiracy theories online have fueled a general …

Cotton is widely used in textile, decoration, and industry, but it is also threatened by soil
salinization. Drip irrigation plays an important role in improving water and fertilization …

This study employs a stacked ensemble machine learning approach to predict carbonate
rocks' porosity and absolute permeability with various pore-throat distributions and …

Flood control operation is one of the effective measures to reduce flood risks. Since flood
forecasting plays a critical role in real-time reservoir flood control operation, it is necessary to …

Understanding rainfall patterns is crucial for basin-wide risk management. The present study
assesses rainfall patterns by smoothing their daily mean through Fourier fitting for the …

Improving the accuracy and stability of daily runoff prediction is crucial for effective water
resource management and flood control. This study proposed a novel stacking ensemble …

Predicting the rainfall status of a region has a great impact on certain factors, such as
arranging agricultural activities, enabling efficient water planning, and taking precautionary …