In recent times, South Africa has been witnessing insurgence of offensive and hate speech
along racial and ethnic dispositions on Twitter. Popular among the South African languages …

Background HIV and sexually transmitted infections (STIs) are major global public health
concerns. Over 1 million curable STIs occur every day among people aged 15 years to 49 …

In order to establish a more suitable risk prediction system for the network loan platform and
reduce the loan risk of the network platform, this paper proposes a loan risk prediction model …

Abstract Machine Learning (ML) is an evolving area of research with lot many opportunities
to explore.“It is the defining technology of this decade, though its impact on healthcare has …

Recently machine learning algorithms are widely used for the prediction of different
attributes, and these algorithms find widespread applications in a variety of domains …

The analysis of land use and land cover is a task of remote sensing and geographic
information systems. Nowadays, deep learning techniques can analyze land use and land …

The effective extraction of water-leaving reflectance using atmospheric correction (AC)
algorithms is essential for accurately retrieving ocean color parameters. However, existing …

Recently, carbon price forecasting has become critical for financial markets and
environmental protection. Due to their dynamic, nonlinear, and high noise characteristics …

Gastric cancer is the fifth most common cancer type worldwide and one of the most
frequently diagnosed cancers in South Korea. In this study, we propose DeepPrevention …

This research proposes a stacking machine learning method to accurately predict the
compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting …