Near infrared reflectance spectroscopy (NIRS) is a non-destructive and rapid technique
applied increasingly for food quality evaluation in recent years. It provides us more …

Near infrared spectroscopy (NIRS) has been widely applied in both qualitative and
quantitative analysis. There is growing interest in its application to traditional Chinese …

Classification is an important task in chemometrics. For several years now, support vector
machines (SVMs) have proven to be powerful for infrared spectral data classification …

Total luminescence and synchronous scanning fluorescence spectroscopy techniques were
tested as regards their ability to characterize and differentiate edible oils, including soybean …

The objective of this study is to attempt a new soft computing approach for assessment of
landslide susceptibility in the Luc Yen district, Yen Bai province (Viet Nam) using a novel …

Wetlands are among the most productive ecosystems that provide services ranging from
flood control to climate change mitigation. Wetlands are also critical habitats for the survival …

In this study, an in-house validation of Visible and Near Infrared Spectroscopy was
performed to distinguish between extra virgin olive oil (EVOO) and virgin olive oil (VOO). A …

Abstract The Recommender Systems (RSs) based on the performance of Collaborative
filtering (CF) depends on similarities among users or items obtained by a user-item rating …

In this study, chemometric predictive models were developed from near infrared (NIR)
spectra for the quantitative determination of saturates, aromatics, resins and asphaltens …

Spectral pre-processing and variable selection are often used to produce PLS regression
models with better prediction abilities. We proposed here to optimize simultaneously the …