Unmanned aircraft systems (UAS) provide an efficient way to phenotype crop morphology
with spectral traits such as plant height, canopy cover and various vegetation indices (VIs) …

Due to the limitation of optical images that their waves cannot penetrate clouds, such images
always suffer from cloud contamination, which causes missing information and limitations for …

Uncrewed aerial systems (UASs) provide high temporal and spatial resolution information
for crop health monitoring and informed management decisions to improve yields. However …

A massive landslide often causes long-lasting instability dynamics that need to be analyzed
in detail for risk management and mitigation. Multiple satellite remote sensing observations …

The provision of quality healthcare relies on scales and measures with robust evidence of
their psychometric properties. Using measurement instruments with poor reliability, validity …

An attempt has been made to propose a novel prediction model based on the Gaussian
process regression (GPR) approach. The proposed GPR was used to predict blast-induced …

In recent years, deep learning models have been applied to neuroimaging data for early
diagnosis of Alzheimer's disease (AD). Structural magnetic resonance imaging (sMRI) and …

Barley can be contaminated with a wide range of fungal secondary metabolites, including
various mycotoxins that reduce the quality and safety of raw materials as well as cause …

Abstract The Feed-Forward and Backpropagation Artificial Neural Networks (FFBP-ANN) are
generally employed for cut surfaces quality characteristics predictions. However, the …

Lockdown policies applied worldwide to limit the spread of COVID-19, and mainly based on
health considerations, have negatively impacted on public transport (PT) usage, suspected …