Monitoring COVID-19 infection cases has been a singular focus of many policy makers and
communities. However, direct monitoring through testing has become more onerous for a …

This study was conducted on 79 harvested poplar trees of eight-years-old planted at five
spacing geometries (5× 4 m, 10× 2 m, 18× 2× 2 m, North–South and East–West boundary) to …

An accurate, timely and large-scale yield prediction is considered critically important to
frame policies to mitigate climate change risks and for ensured food security. Wheat …

Automated image analysis has received increasing attention in social scientific research, yet
existing scholarship has mostly covered the application of supervised learning to classify …

Fasciolosis is a zoonotic disease, considered an emerging neglected tropical disease
threatening ruminant productivity and causing economic losses. Controlling fasciolosis is …

Rice (Oryza sativa L.) is a widely consumed food source, and its geographical origin has
long been a subject of discussion. In our study, we collected 44 and 20 rice samples from …

Previous studies have attempted to separate single trial neural responses for events a
person is likely to remember from those they are likely to forget using machine learning …

Groundwater is a vital resource for communities in arid regions, such as Saudi Arabia,
where seawater intrusion poses a significant threat. To determine groundwater quality with …

Different methods and several physical models exist to study cell viscoelasticity with the
atomic force microscope (AFM). In search of a robust mechanical classification of cells …

In this study, a wind speed analysis is conducted using Reanalysis wind speed data for the
height of 50 meters using five probability distributions that were tested and compared using …