As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

In exploring pattern recognition for electronic noses via deep neural networks, traditional
networks encounter key challenges, such as low training efficiency, and neglect of spatial …

A sensor array is a key component of an electronic nose (E-nose). However, the practical
applications of the E-nose are often inhibited by its size and energy consumption arising …

Significant challenges are posed by the limitations of gas sensing mechanisms for trace-
level detection of ammonia (NH3). In this study, we propose to exploit single-atom catalytic …

Real-time detection of VOCs in the car cabin is crucial for protecting driver's health. MOS gas
sensors, with the advantages of low cost, simplicity and fast response, are widely used for …

The biomimetic electronic nose (e-nose) technology is a novel technology used for the
identification and monitoring of complex gas molecules, and it is gaining significance in this …

Dissolved gas analysis (DGA) is considered to be the most convenient and effective
approach for transformer fault diagnosis. Due to their excellent performance and …

The electronic nose (E-nose) is widely used for quantitative monitoring of poisonous and
harmful gases. However, its conventional gas sensing is generally carried out based on a …

This study introduces a novel deep learning framework for lung health evaluation using
exhaled gas. The framework synergistically integrates pyramid pooling and a dual-encoder …

Recent years have witnessed the splendid performance of deep learning methods used in
gas recognition for electronic noses (E-nose). In addition to effective feature extraction, the …