Landslides are one of the catastrophic natural hazards that occur in mountainous areas,
leading to loss of life, damage to properties, and economic disruption. Landslide …

In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …

Vibrational spectroscopy techniques, such as Fourier-transform infrared (FTIR) and Raman
spectroscopy, have been successful methods for studying the interaction of light with …

Subcellular localization critically influences protein function, and cells control protein
localization to regulate biological processes. We have developed and applied Dynamic …

Clustering is an essential data mining tool that aims to discover inherent cluster structure in
data. For most applications, applying clustering is only appropriate when cluster structure is …

The assessment of the classification performance can be based on class indices, such as
sensitivity, specificity and precision, which describe the classification results achieved on …

This review addresses the applicability of visible (Vis), near-infrared (NIR), and mid-infrared
(MIR) reflectance spectroscopy for the prediction of soil properties. We address (1) the …

Principal component analysis (PCA) is often applied for analyzing data in the most diverse
areas. This work reports, in an accessible and integrated manner, several theoretical and …

Spatial statistics is a growing discipline providing important analytical techniques in a wide
range of disciplines in the natural and social sciences. In the R package GWmodel, we …

We evaluated the fuel, thermal and surface properties of twelve biochars produced from
three lignocellulosic (canola straw, sawdust, wheat straw) and one non-lignocellulosic …