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K. Aamir and F. Hasan, “Principal Component Analysis- Linear Discriminant Analysis Feature Extractor for Pattern Recognition,” IJCSI International Journal of Computer Science Issues, Vol. 8, No. 6, 2011, p. 267.

has been cited by the following article:

• TITLE: Applications and Technology of Electronic Nose for Clinical Diagnosis

  AUTHORS: Simeng Chen, Yuchao Wang, Seokheun Choi

  KEYWORDS: Electronic Nose; Biosensor; Clinical Diagnosis

  JOURNAL NAME: Open Journal of Applied Biosensor, Vol.2 No.2, May 13, 2013

  ABSTRACT: Rapid advances in sensor technologies have facilitated the development of high-performance electronic noses that can detect and discriminate volatile compounds in situ. The research and development of electronic noses has resulted in a new qualitative and semi-quantitative detection approach in the field of clinical diagnostics. Electronic noses have a clear potential to be a non-invasive, simple and rapid but above all accurate early diagnostic screening tool. This review collates existing knowledge of recent advances in electronic nose technologies and applications.