Quantitative prediction of crude oil properties (eg API gravity, kinematic viscosity, sulfur
content) can be conducted using multivariate calibration models. The growth and the …

The uniaxial compressive strength (UCS) is one of the most important parameters for
judging the mechanical behaviour of rock mass in rock engineering design and excavation …

Long-term settlement issues in engineering practice are controlled by the creep index, C α,
but current empirical models of C α are not sufficiently reliable. In a departure from previous …

The quality and safety of edible crops are key links inseparable from human health and
nutrition. In the era of rapid development of artificial intelligence, using it to mine multi …

Urban heat islands (UHI) represent one of the substantial human-induced challenges
endangering urban livelihoods. UHI and climate change have significant interactions …

We report an application of a low-level data fusion for chemometric discrimination of crude
oil samples by usual classifications, based on the combination of data obtained by means of …

This review is about applications of nanofluids technology and different machine learning
algorithms on the potential improvement of system performance and computational …

Petroleum fuels play an important role in economic society, and near-infrared analysis has
been widely used in the characterization of petroleum fuels due to its effectiveness and …

Objectives Specialised metabolites in plants are essential in developing new products since
these compounds with antioxidant activity can be incorporated into pharmaceutical and food …

Major depressive disorder (MDD) is a persistent psychiatric mood disorder that is prevalent
from a few weeks to a few months, even for years in the worst cases. It causes sadness …