Volatile compounds not only contribute to the distinct flavors and aromas found in foods and
beverages, but can also serve as indicators for spoilage, contamination, or the presence of …

Low-dimensional metal oxides-based electronic noses have been applied in various fields,
such as food quality, environmental assessment, coal mine risk prediction, and disease …

This paper proposes a new method of mixed gas identification based on a convolutional
neural network for time series classification. In view of the superiority of convolutional neural …

In the daily life, there is a tremendous need of fast monitoring of mixture gases and
corresponding concentration estimation. For example, in the petrochemical industry, toxic …

Real-time mixed gas detection has attracted significant interest for being a key factor for
applications of the electronic nose (E-nose). However, mixed gas detection still faces the …

Hypertension is an antecedent to cardiac disorders. According to the World Health
Organization (WHO), the number of people affected with hypertension will reach around …

Because of the low accuracy of the current machine olfactory algorithms in detecting two
mixed gases, this study proposes a hybrid gas detection algorithm based on an extreme …

The notion of employing deep learning (DL) for gas classification has kindled a revolution
that has improved both data collection measures and classification performance. Yet, the …

Machine learning algorithms play an important role in the detection of toxic, flammable and
explosive gases, and they are extremely important for the study of mixed gas classification …

This work reports a new technique for the selective determination of three organic vapors–
ammonia, ethanol and acetone by employing two resistive sensors. These two resistive …