Recurrent extreme drought and flood in Ethiopia lead to more economic loss. This study
examines change and trends of 21 climate extremes of temperature and precipitation over …

Numerous facets of scientific research implicitly or explicitly call for the estimation of
probability densities. Histograms and kernel density estimates (KDEs) are two commonly …

This study presents potential future variations of mean rainfall and temperature over East
Africa (EA) based on five models that participated in the Coupled Model Intercomparison …

The news media has substantial influence on public perceptions of social and health issues.
This study conducted a video content analysis to examine portrayals of obese persons in …

A specific type of neural networks, the Restricted Boltzmann Machines (RBM), are
implemented for classification and feature detection in machine learning. They are …

Kernel smoothing of spatial point data can often be improved using an adaptive, spatially
varying bandwidth instead of a fixed bandwidth. However, computation with a varying …

A nonuniform, fast Fourier transform can be used to reduce the computational cost of the
empirical characteristic function (ECF) by a factor of 100. This fast ECF calculation method is …

Prospecting our future climate behavior under a wide range of possible scenarios is one of
the most challenging issues in climate science. This study examines changes in monsoon's …

Updated information on trends of climate extremes is central in the assessment of climate
change impacts. This work examines the trends in mean, diurnal temperature range (DTR) …

In high throughput applications, such as those found in bioinformatics and finance, it is
important to determine accurate probability distribution functions despite only minimal …