Validation of the rapid detection approach for enhancing the electronic nose systems performance, using different deep learning models and support vector machines

no code implementations • 4 May 2020 • Juan C. Rodriguez Gamboa, Adenilton J. da Silva, Ismael C. S. Araujo, Eva Susana Albarracin E., Cristhian M. Duran A

In this work, we used a Support Vector Machines (SVM) algorithm and three different DL models to validate the rapid detection approach (based on processing an early portion of raw signals and a rising window protocol) over different measurement conditions.

Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid

no code implementations • 16 Jan 2020 • Juan C. Rodriguez Gamboa, Eva Susana Albarracin E., Adenilton J. da Silva, Luciana Leite, Tiago A. E. Ferreira

It is crucial for the wine industry to have methods like electronic nose systems (E-Noses) for real-time monitoring thresholds of acetic acid in wines, preventing its spoilage or determining its quality.