Chemiresistive Sensor Array and Machine Learning Classification of Food
Successful identification of complex odors by sensor arrays remains a challenging problem. Herein, we report robust, category-specific multiclass-time series classification using an array of 20 carbon nanotube-based chemical sensors. We differentiate between samples of cheese, liquor, and edible oil...
| Автори: | , , , , , , |
|---|---|
| Інші автори: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
American Chemical Society (ACS)
2020
|
| Онлайн доступ: | https://hdl.handle.net/1721.1/128141 |