Giampaolo, V.; Dell’Aversana, P.; Capozzoli, L.; De Martino, G.; Rizzo, E.
Optimization of Aquifer Monitoring through Time-Lapse Electrical Resistivity Tomography Integrated with Machine-Learning and Predictive Algorithms. Appl. Sci. 2022, 12, 9121.
https://doi.org/10.3390/app12189121
AMA Style
Giampaolo V, Dell’Aversana P, Capozzoli L, De Martino G, Rizzo E.
Optimization of Aquifer Monitoring through Time-Lapse Electrical Resistivity Tomography Integrated with Machine-Learning and Predictive Algorithms. Applied Sciences. 2022; 12(18):9121.
https://doi.org/10.3390/app12189121
Chicago/Turabian Style
Giampaolo, Valeria, Paolo Dell’Aversana, Luigi Capozzoli, Gregory De Martino, and Enzo Rizzo.
2022. "Optimization of Aquifer Monitoring through Time-Lapse Electrical Resistivity Tomography Integrated with Machine-Learning and Predictive Algorithms" Applied Sciences 12, no. 18: 9121.
https://doi.org/10.3390/app12189121
APA Style
Giampaolo, V., Dell’Aversana, P., Capozzoli, L., De Martino, G., & Rizzo, E.
(2022). Optimization of Aquifer Monitoring through Time-Lapse Electrical Resistivity Tomography Integrated with Machine-Learning and Predictive Algorithms. Applied Sciences, 12(18), 9121.
https://doi.org/10.3390/app12189121