A Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction
Wen, Tengteng, Mo, Zhuofeng, Li, Jingshan, Liu, Qi, Wu, Liming, Luo, Dehan
–arXiv.org Artificial Intelligence
Machine olfaction is usually crystallized as electronic noses (e-noses) which consist of an array of gas sensors mimicking biological noses to'smell' and'sense' odors [1]. Gas sensors in the array should be carefully selected based on several specifications (sensitivity, selectivity, response time, recovery time, etc.) for specific detecting purposes. On the other side, some general-purpose e-noses may have an array of gas sensors that are sensitive to a variety of odorous materials so that such e-noses can be applied to many fields. An increasing number of researches and applications utilized machine olfaction in recent years. In the early 20th century, some studies applied e-noses to the analysis of products along with gas chromatography-mass spectrometers (GC-MS) [2]. Some linear methods such as principal component analysis (PCA), linear discriminant analysis (LDA), support vector machines (SVM), etc. were used in the analysis [3].
arXiv.org Artificial Intelligence
Nov-25-2020
- Country:
- Europe > Switzerland (0.14)
- North America > United States (0.14)
- Genre:
- Research Report (1.00)
- Technology: