The study aims to showcase machine learning techniques in the application of medical
datasets for improving identification of correlations and relationships between variables …

Flooding is a recurrent hazard occurring worldwide, resulting in severe losses. The
preparation of a flood susceptibility map is a non-structural approach to flood management …

In this study, a porous scaffold composed of polyvinylpyrrolidone (PVP) and alginate
containing titanium nanoparticles (Ti-NPs or TiO 2 nanoparticles) layer by layer was …

Amid the rapidly evolving discussions surrounding the Omicron vaccination, this research
leverages data from Twitter, focusing on the USA, from March 2022 to March 2023 …

Considering the low thermal conductivity of phase change materials (PCM) and the
slowness of the melting process in the thermal energy storage chamber (TESC), a …

Drought is, among natural hazards, one of the most harmful to humanity. The forecasting of
droughts is essential to reduce their impact on the economy, agriculture, tourism and water …

In developing countries, the interaction between rapid urban expansion and population
growth brings forth a host of challenges, particularly concerning essential services like …

RC columns exposed to harsh environments are susceptible to internal reinforcement
corrosion, leading to a reduction in lateral deformation capacity. The accurate prediction of …

A learning algorithm is a set of instructions used in machine learning that enables a
computer program to imitate how humans improve at describing specific types of data. As …

The incorporation of sophisticated artificial intelligence technologies and data mining
methodologies is critical for the planning and design of low-carbon landscape architectural …