Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for
recognizing multivariate responses obtained by gas sensors in various applications. Over …

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 …

Tea polyphenols content in green tea has an indirect relationship with the aroma quality of
tea. This study innovatively proposed a method for quantitative determination of tea …

Sensory attributes of teas are related to their geographical origin and directly affect
consumer preference and thus the value of products. In this paper, we propose a portable …

The electronic nose is an odor detection instrument utilizing the bionic olfactory theory, and
usually consisting of a gas sensor array and an odor recognition algorithm. Traditional odor …

Fusion of machine learning methods benefits in decision support systems. A composition of
approaches gives a possibility to use the most efficient features composed into one solution …

Feature extraction in electronic nose (E-nose) signals is the first signal processing step in
machine olfactory systems. Traditional feature extraction methods are often cumbersome …

In several application domains, electronic nose systems employing conventional data
processing approaches incur substantial power and computational costs and limitations …

In an electronic nose (e-nose) system, the gas sensor array is the key component for
detecting the volatile profile of a sample. An inappropriate sensor combination can lead to …

Tea polyphenols are important ingredients for evaluating tea quality. The rapid development
of sensors provides an efficient method for nondestructive detection of tea polyphenols …