Coffee Aroma Classification Based on an Electronic Nose: Comparative Evaluation of DNN, SVM, and ANN with IQR and Wavelet Preprocessing

Coffee aroma assessment is commonly performed through cupping tests, which are subjective and highly dependent on human perception. This study proposes an objective approach for multi-class coffee aroma classification using a low-cost Electronic Nose (E-Nose) and a comparative evaluation of Deep Neu...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Muhammad Yulvi Aditya Pradana, Ifnu Wisma Dwi Prasetya, Ita Aristia Sa’ida
Format:	Artigo
Jezik:	Inglês
Izdano:	Politeknik Negeri Batam 2026-04-01
Serija:	Journal of Applied Informatics and Computing
Teme:	electronic nose coffee aroma classification deep neural network support vector machine artificial neural network discrete wavelet transform
Online dostop:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/12207
Oznake:	Označite Brez oznak, prvi označite!