articleACS SensorsJan 18, 2022Closed access

High Accuracy Real-Time Multi-Gas Identification by a Batch-Uniform Gas Sensor Array and Deep Learning Algorithm

MKMingu KangICIncheol ChoJPJaeho ParkJJJaeseok JeongKLKichul Lee

Korea Advanced Institute of Science and Technology

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Abstract

Semiconductor metal oxide (SMO) gas sensors are attracting great attention as next-generation environmental monitoring sensors. However, there are limitations to the actual application of SMO gas sensors due to their low selectivity. Although the electronic nose (E-nose) systems based on a sensor array are regarded as a solution for the selectivity issue, poor accuracy caused by the nonuniformity of the fabricated gas sensors and difficulty of real-time gas detection have yet to be resolved. In this study, these problems have been solved by fabricating uniform gas sensor arrays and applying the deep learning algorithm to the data from the sensor arrays. Nanocolumnar films of metal oxides (SnO2, In2O3, WO3, and…

Citation impact

240
total citations
FWCI
19.20
Percentile
100%
References
39
Citations per year

Authors

9

Topics & keywords

Topics
Keywords
  • Electronic nose
  • Sensor array
  • Convolutional neural network
  • Computer science
  • Algorithm
  • Selectivity
  • Nanotechnology
  • Materials science
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