An Improved Gas Classification Technique Using New Features and Support Vector Machines

Author:

Kang Se-Jong,Kim Jae-Young,Jeong In-Kyu,Islam M. M. Manjurul,Im Kichang,Kim Jong-Myon

Publisher

Springer International Publishing

Reference12 articles.

1. Lee, I.S., Shim, C.H.: Gas classification and fault diagnosis of the semiconductor type gas sensor system. J. Korea Inf. Sci. Soc. 7, 48–57 (2009)

2. Lee, J.H., Cho, J.H., Jeon, G.J.: Concentration estimation of gas mixtures using a tin oxide gas sensor and fuzzy ART. J. Korea Electron. Eng. 43, 21–29 (2006)

3. Lee, D.S., Jung, H.Y., Ban, S.W., Lee, M.H., Huh, J.S., Lee, D.D.: Fabrication of semiconductor gas sensor array and explosive gas sensing characteristics. J. Korea Electron. Eng. 37, 9–17 (2000)

4. Lee, K.C., Rye, K.R., Hur, C.W.: Fabrication and yield improvement of oxide semiconductor thin film gas sensor array. J. Korea Inf. Commun. Soc. 6, 315–322 (2002)

5. Heo, J.Y., Yang, J.Y.: SVM based stock price forecasting using financial statements. J. Korea Inf. Sci. Soc. 21, 167–172 (2015)

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