Llwytho...
Domain Correction Based on Kernel Transformation for Drift Compensation in the E-Nose System
This paper proposes a way for drift compensation in electronic noses (e-nose) that often suffers from uncertain and unpredictable sensor drift. Traditional machine learning methods for odor recognition require consistent data distribution, which makes the model trained with previous data less genera...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | Sensors (Basel) |
|---|---|
| Prif Awduron: | , , , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
MDPI
2018
|
| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6210950/ https://ncbi.nlm.nih.gov/pubmed/30249024 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18103209 |
| Tagiau: |
Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|