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 …

Explosives detection systems need to be able to reliably detect a wide range of explosive
materials and their vapours. The continued development and improvement of artificial …

Polypropylene (PP) is one of the raw materials to produce automotive interior parts. Under
the high-temperature condition, the volatile gas of PP will have a pungent odor. Therefore …

Electronic nose (E-nose) plays an important role in the detection of Chinese baijiu, which is
an alcoholic beverage of high reputation. However, traditional e-nose data processing relies …

Odor descriptors are words used to express human olfactory perception. At a certain level,
predicting the odor descriptor rating using an electronic nose (E-nose) equips the machine …

Entities throughout the world face the problem of detecting hidden explosives, where human
and canine inspection might not be a viable solution. Therefore, it is important to develop …

Brain–computer interfaces (BCIs) aim to decode brain signals and transform them into
commands for device operation. The present study aimed to decode the brain activity during …

Human activity recognition (HAR) has applications to various fields. However, not
accounting for the personal differences among various subjects can lead to significant …

The classification and use of robust methodologies in sensor array applications of electronic
noses (ENs) remain an open problem. Among the several steps used in the developed …

We used a 16-channel e-nose demonstrator based on micro-capacitive sensors with
functionalized surfaces to measure the response of 30 different sensors to the vapours from …