In the last two decades, improvements in materials, sensors and machine learning
technologies have led to a rapid extension of electronic nose (EN) related research topics …

Exhaled breath analysis has attracted considerable attention as a noninvasive and portable
health diagnosis method due to numerous advantages, such as convenience, safety …

In terms of electronic nose algorithms, data pre-processing and classifier type are the two
main factors affecting gas classification results. In the early stage, data pre-processing …

Pulp and paper industries emit various odorous gases during the pulp production and paper-
making phase, which are unpleasant and have harmful effects on the human body. The …

The electronic nose (e-nose) is a highly advanced detection technique with numerous
practical uses in the areas of food, health, environment, and safety. Especially in certain …

The electronic nose (e-nose) consists of a sensor array, a pattern recognition engine, and
peripheral circuitry, where the pattern recognition engine performs gas classification. The …

Gas sensors lack repeatability over time. They are affected by drift, the result of changes at
the sensor level and in the environment. A solution is to design software methods that …

Robot olfaction takes inspiration from animals for locating a gas source in the environment,
such as a gas leak to fix or an explosive to neutralize. In these cases, gas sources emit …

The electronic nose (Enose) system can be applied to many applications. Nevertheless, the
gas sensor array used in the Enose system can vary from one device to another …

Environmental monitoring is necessary to protect humans from several hazardous gases.
Hence, the recent development of nanotechnology for gas detection has initiated. The e …