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An AI-powered e-nose system using a density-based clustering method for identifying adulteration in specialty coffees
by
Lee, Chung-Hong
,
Rianto, Babam
Published in
Microchemical journal
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An Incremental Learning Method for Preserving World Coffee Aromas by Using an Electronic Nose and Accumulated Specialty Coffee Datasets
by
Chen, I-Te
,
Chen, Chien-Chang
,
Dai, Hong-Jie
,
Rianto, Babam
,
Huang, Si-Kai
,
Lee, Chung-Hong
Published in
IEEE transactions on agrifood electronics
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Combining an Electronic Nose System with Artificial Intelligence Methods for Odor Identification of Spirits
by
Sun, Jun-Teng
,
Lee, Chung-Hong
,
Rianto, Babam
,
Huang, Si-Kai
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Ieee Transactions On Agrifood Electronics
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Microchemical Journal
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Artificial Intelligence
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Electronic Nose
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Electronic Noses
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Aroma Authentication
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Artificial Neural Networks
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Chemistry
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Coffee Adulteration
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Coffee Aroma
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Coffee Authenticity
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E-Nose
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Electric Potential
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Fermentation
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Incremental Learning
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