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Sliding Window-based DCT Features for Tea Quality Prediction Using Electronic Tongue.

, , , , and . PerMIn, page 230-236. ACM, (2015)

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Removal of Inconsistent Training Data in Electronic Nose Using Rough Set., , , and . ACITY (2), volume 177 of Advances in Intelligent Systems and Computing, page 115-123. Springer, (2012)Multi-frequency Large Amplitude Pulse Voltammetric Electronic Tongue to Assess Key Compounds Imparting the Taste of Briskness to Finished Black Tea Liquor., , , , , , , and . PerMIn, page 252-257. ACM, (2015)Self-Organizing Map Based Classification of Smell Stages of Black Tea Fermentation Process Using Electronic Nose., , , , and . IICAI, page 1626-1635. IICAI, (2007)Identification and Classification of Sudan Dye I Adulterants in Turmeric Powder by Nir Spectroscopy and Support Vector Machine., , and . ISOEN, page 1-4. IEEE, (2019)Development of Furaneol Imprinted Polymer Based QCM sensor for Discrimination of Artificially and Naturally Ripened Mango., , , , , , and . ISOEN, page 1-3. IEEE, (2019)Discrimination of black tea using electronic nose and electronic tongue: A Bayesian classifier approach., , , , , and . ReTIS, page 13-17. IEEE, (2011)Towards artificial flavor perception of black tea: An approach using fusion of electronic nose and electronic tongue responses with fuzzy ART classification technique., , , , and . PerMIn, page 246-251. ACM, (2015)Estimation of Aroma Determining Compounds of Kangra Valley Tea by Electronic Nose System., , , , and . PerMIn, volume 7143 of Lecture Notes in Computer Science, page 171-179. Springer, (2012)Improvement of Quality Perception for Black CTC Tea by Means of an Electronic Tongue., , , , and . PerMIn, volume 7143 of Lecture Notes in Computer Science, page 187-194. Springer, (2012)Discrimination of Black Tea Quality using Electronic Nose: A GA based approach., , , , and . IICAI, page 245-255. IICAI, (2011)