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 …

Machine learning methods enable the electronic nose (E-Nose) for precise odor
identification with both qualitative and quantitative analysis. Advanced machine learning …

In this work, a sensor array comprised four sensors has been employed to detect 11 types of
mixtures of nitrogen dioxide (NO 2) and carbon monoxide (CO), with concentration varying …

Debris flows have been always a serious problem in the mountain areas. Research on the
assessment of debris flows susceptibility (DFS) is useful for preventing and mitigating debris …

The portable electronic nose (E-nose) systems are suffering from the limited computing
ability of microcontrollers and can only adopt simple pattern recognition algorithms. The …

Background Food quality and safety have received much more attention in recent years
thanks to the increase in food consumption and customer awareness of food quality …

Accurate and selective detection of target gas/volatile organic compounds (VOCs) is of
utmost importance. The chemiresistive gas sensors have been a desirable candidate due to …

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 …

Sensor drift is a long-existing unpredictable problem that deteriorates the performance of
gaseous substance recognition, calling for an antidrift domain adaptation algorithm …

Simple, accurate, portable, and selective gas sensors with autonomous, remote, and real-
time access have become a requisite in various fields of applications. In this article, we …