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 …

The quality of soybeans from different growing areas is different. It is common for low-quality
soybeans to fake high-quality soybeans. This paper proposes a lightweight residual …

Increase in trading and travelling flows has resulted in the need for non-intrusive object
inspection and identification methods. Traditional techniques proved to be effective for …

Abstract Machine learning (ML) methodologies were applied to detect and discriminate five
indoor volatile organic compounds (VOCs) such as benzene, xylene, toluene, formaldehyde …

Abstract Support Vector Machine Regression (SVR) has been shown to be more accurate
compared to other machine learning techniques that are commonly used for chemical …

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 …

Recently, the emergence of low-cost sensors have allowed electronic noses to be
considered for densifying the actual air pollution monitoring networks in urban areas …

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 …

During the olfactory perception process, our olfactory receptors are thought to recognize
specific chemical features. These features may contribute towards explaining our …

2, 4, 6-trichloroanisole (TCA) is mainly responsible for cork taint in wine, which causes
significant economic losses; therefore, the wine and cork industries demand an immediate …