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.