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20172024
most citedValidation of the rapid detection approach for enhancing the electronic nose systems performance, using different deep learning models and support vector machines

110 citations · 230 across the 7 of their papers we have counts for

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eess.SP2020★ 110 cited

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

Juan C. Rodriguez Gamboa, Adenilton J. da Silva, Ismael C. S. Araujo +2

Real-time gas classification is an essential issue and challenge in applications such as food and beverage quality control, accident prevention in industrial environments, for inst…

eess.SP2020★ 103 cited

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

Juan C. Rodriguez Gamboa, Eva Susana Albarracin E., Adenilton J. da Silva +2

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 d…