Discrimination of Apples with Standardized Data from an Electronic Nose
Author:
Affiliation:
1. Division of Molecular Cell Biology, Core Research Facilities for Basic Science, The Jikei University School of Medicine
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering,Mechanical Engineering
Link
https://www.jstage.jst.go.jp/article/ieejsmas/138/8/138_330/_pdf
Reference7 articles.
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2. (9) A. P. F. Turner and N. Magan : “Electronic noses and disease diagnostics”, Nature Reviews Microbiology, Vol. 2, pp. 161-166 (2004)
3. (12) K. Fujioka, N. Shimizu, Y. Manome, K. Ikeda, K. Yamamoto, and Y. Tomizawa : “Discrimination Method of the Volatiles from Fresh Mushrooms by an Electronic Nose Using a Trapping System and Statistical Standardization to Reduce Sensor Value Variation”, Sensors, Vol. 13, pp. 15532-15548 (2013)
4. (14) K. Fujioka, E. Arakawa, J. Kita, Y. Aoyama, T. Okuda, Y. Manome, and K. Yamamoto : “Combination of Real-Value Smell and Metaphor Expression Aids Yeast Detection”, PLoS ONE, Vol. 4, No. 11, e7939 (2009)
5. (15) W. J. Youden : “Index for rating diagnostic tests”, Cancer, Vol. 3, pp. 32-35 (1950)
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1. Recording the Fragrance of 15 Types of Medicinal Herbs and Comparing Them by Similarity Using the Electronic Nose FF-2A;Chemosensors;2022-01-05
2. Measurement and differentiation of banana juice scent using an electronic nose FF-2A;PeerJ;2021-01-05
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