The aim of this paper is to review machine learning (ML) algorithms and techniques for hate
speech detection in social media (SM). Hate speech problem is normally model as a text …

Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …

The development and utilization of solar energy, meteorological forecasting, and agricultural
production all require accurate predictions of radiance. However, due to the influence of …

In solar forecasting, it is common practice for solar data (be it irradiance or photovoltaic
power) to be converted into a stationary index (eg, clear-sky or clearness index) before …

There has been an increase in the intensity of rainfall extreme events. These events have a
high contribution to hazards in urban areas, such as flash flooding, and landslides, which …

Featured Application: The ratio between photosynthetic photon flux density and broadband
solar irradiance and its dependency on sky cloudiness conditions, defined with the CIE …

Satellite-based solar resource data are often developed and validated by using binary
cloudiness categories: clear sky or overcast cloudy sky. To investigate the reliability of solar …

Diffuse solar radiation (Rd), one of the two components of solar radiance, has been shown
to have a fertilizing effect on plants and, thus, has implications for terrestrial carbon sinks …

Forecasts of a drastic increase in temperatures in the coming decades are driving the
adoption of design strategies and solutions to improve the livability of urban environments …

This study presents a comprehensive evaluation of 15 decomposition models (12 empirical
and 3 atmospheric transmittance models) for estimating diffuse horizontal irradiance at 17 …