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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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Rough Set Based Classification on Electronic Nose Data for Black Tea Application., , , and . ACITY (3), volume 178 of Advances in Intelligent Systems and Computing, page 23-31. Springer, (2012)Discrimination of the maturity stages of Indian mango using QCM based electronic nose., , , , , , and . ISOEN, page 1-2. IEEE, (2019)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)JMS hybrid single electron model and its simulation using MATLAB., , , , and . UEMCON, page 1-3. IEEE, (2016)Real-Time Price Discovery Solution for Agri-Commodities at e-Marketplaces: A Hybrid Approach., , , , , , and . CICBA, volume 1579 of Communications in Computer and Information Science, page 417-431. Springer, (2022)Deep Learning-Based Potential Ligand Prediction Framework for COVID-19 with Drug-Target Interaction Model., , , , , , , , , and . Cogn. Comput., 16 (4): 1682-1694 (July 2024)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)X-Ray Imaging and General Regression Neural Network (GRNN) for Estimation of Silk Content in Cocoons., , , , , , , and . PerMIn, page 71-76. ACM, (2015)Automatic test generation for micro-architectural verification of configurable microprocessor cores with user extensions., and . HLDVT, page 14-15. IEEE Computer Society, (2001)