benzene has been researched along with Infection, Wound in 1 studies
| Excerpt | Relevance | Reference |
|---|---|---|
| "For an electronic nose (E-nose) in wound infection distinguishing, traditional learning methods have always needed large quantities of labeled wound infection samples, which are both limited and expensive; thus, we introduce self-taught learning combined with sparse autoencoder and radial basis function (RBF) into the field." | 1.46 | Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection. ( Duan, S; He, P; Jia, P; Qiao, S, 2017) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 1 (100.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| He, P | 1 |
| Jia, P | 1 |
| Qiao, S | 1 |
| Duan, S | 1 |
1 other study available for benzene and Infection, Wound
| Article | Year |
|---|---|
Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection.
Topics: Acetone; Benzene; Diagnostic Equipment; Discriminant Analysis; Electronic Nose; Ethanol; Formaldehyd | 2017 |