Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …

The fuel certification process is a necessary step for all aviation fuels before deployment.
This approval process is composed of multiple fuel physiochemical properties (eg, density …

In recent decades, with the rapid development of artificial intelligence, data mining, and
cloud computing, new chemometric methods have sprung up and become one of the fastest …

Derived cetane number (DCN) is an important fuel property relevant to ignition in
compression ignition engines. The measurement of IR spectra of neat liquid fuels along with …

The interest in performing in field measures using portable instruments is growing
increasingly. Calibration transfer techniques can be used to enable models, predicted …

This research aimed to improve the classification performance of a developed near-infrared
(NIR) spectrometer when applied to the geographical origin identification of coffee bean …

Artificial neural networks (ANNs) were used to predict, not simultaneously, flash point,
cetane index, and sulfur content (S1800) of diesel blends (7%(v/v) biodiesel) using …

Although the use of chemometric methods to predict fuel quality properties has received
wide attention over the past three decades, as seen from the review included with this …

Calibration optimization in near infrared spectroscopy (NIRS) is a complex process,
requiring long-term database maintenance and model update by including new variations. A …

This work proposes the use of classification transfer based on standardization methods to
investigate adulteration in hydrated ethyl alcohol fuel (HEAF) samples analyzed in two …