With the advances in electronic and information technologies, various sensing systems have
been developed for specialty crop production around the world. Accurate information …

Signal and data processing are essential elements in electronic noses as well as in most
chemical sensing instruments. The multivariate responses obtained by chemical sensor …

Electronic noses (e-noses) employ an array of chemical gas sensors and have been widely
used for the analysis of volatile organic compounds. Pattern recognition provides a higher …

Kernel-based techniques (such as support vector machines, Bayes point machines, kernel
principal component analysis, and Gaussian processes) represent a major development in …

Quality assurance has always been an important issue in the production and utilization of
medicinal and aromatic plants. Most medicinal plants have aromatic characteristics due to …

Food safety issues across the global food supply chain have become paramount in
promoting public health safety and commercial success of global food industries. As food …

Viscoelasticity experiments were performed to detect the total volatile basic nitrogen (TVB-N)
content of chilled beef for freshness evaluation. The growth trend of TVB-N was further …

This study deals with the examination of the ability of a low-cost electronic nose (e‐nose) for
prediction of banana quality indices such as total soluble solids (TSS), titratable acidity (TA) …

We investigate a new pattern recognition technique, called support vector machines (SVM),
by applying it to the classification of e-nose data. SVM have the advantage of relying on a …

In this paper, a machine-learning-based system that could provide automated short-term
solar flare prediction is presented. This system accepts two sets of inputs: McIntosh …