Article Versions Notes

Molinara M, Cancelliere R, Di Tinno A, Ferrigno L, Shuba M, Kuzhir P, Maffucci A, Micheli L. A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry. Sensors. 2022; 22(20):8032. https://doi.org/10.3390/s22208032

Molinara, Mario, Rocco Cancelliere, Alessio Di Tinno, Luigi Ferrigno, Mikhail Shuba, Polina Kuzhir, Antonio Maffucci, and Laura Micheli. 2022. "A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry" Sensors 22, no. 20: 8032. https://doi.org/10.3390/s22208032

Molinara, M., Cancelliere, R., Di Tinno, A., Ferrigno, L., Shuba, M., Kuzhir, P., Maffucci, A., & Micheli, L. (2022). A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry. Sensors, 22(20), 8032. https://doi.org/10.3390/s22208032