Nowadays, there is increasing interest in fast, accurate, and highly sensitive smart gas
sensors with excellent selectivity boosted by the high demand for environmental safety and …

With the development of the Internet-of-Things (IoT) technology, the applications of gas
sensors in the fields of smart homes, wearable devices, and smart mobile terminals have …

Inherent variability of chemical sensors makes it necessary to calibrate chemical detection
systems individually. This shortcoming has traditionally limited usability of systems based on …

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 …

Smoldering fires are characterized by the production of early gas emissions that can include
high levels of CO and Volatile Organic Compounds (VOCs) due to pyrolysis or thermal …

We investigate optimal experiment selection to train a classifier on gas sensor arrays to get
the maximal possible performance in a limited number of experiments. In gas sensing, while …

Waste management plants are one of the most important sources of odorants that may
cause odor nuisance. The monitoring of processes involved in the waste treatment and …

Electronic noses, or e-noses, refer to systems powered by chemical gas sensors, signal
processing, and machine learning algorithms for realizing artificial olfaction. They play a …

Gas measurement systems used with a particular methodology are sometimes referred to as
“Electronic noses”. Traditionally, these systems were based on unspecific gas sensors as …

A method for online decorrelation of chemical sensor signals from the effects of
environmental humidity and temperature variations is proposed. The goal is to improve the …