Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …

Tea is one of the most important beverages worldwide, is produced in several distinct
geographical regions, and is traded on the global market. The ability to determine the …

One of the challenging tasks in text classification is to reduce the dimensional feature space.
This paper discusses an enhanced text classification method using Bag-of-Words …

Background: Early identification of cerebral palsy (CP) during infancy will provide
opportunities for early therapies and treatments. The aim of the present study was to present …

The purpose of this study is to systematically explore the characteristics of being a good
“guest” from the perspective of Airbnb hosts. The study adopts a mixed method combining …

Granular porous bio-carbons were prepared by pyrolysis of different biomass precursors
such as mung bean, black urad bean, and black grape seed, using ZnCl 2 as an activating …

The application of chemometrics, a widely used science in food studies (and not only food
studies) has begun to increase in importance with chemometrics being a very powerful tool …

High-dimensional classification methods have been a major target of machine learning for
the automatic classification of patients who suffer from Alzheimer's disease (AD). One major …

Epalrestat is an inhibitor of aldose reductase in the polyol pathway and is used for the
management of diabetic neuropathy clinically. Our pilot experiments and accumulated …

Soil spectroscopy has experienced a tremendous increase in soil property characterisation,
and can be used not only in the laboratory but also from the space (imaging spectroscopy) …