A Software System for Predicting Trihalomethanes Species in Water Distribution Networks Using Online Networked Water Sensors

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A Software System for Predicting Trihalomethanes Species in Water Distribution Networks Using Online Networked Water Sensors

Autori
G. Fattoruso, A. Agresta, G. Guarnieri, M. Toscanesi, S. De Vito, M. Fabbricino, M. Trifuoggi, G. Di Francia
Parole chiave (Tematica)
Software Trihalomethanes Species Water Water Sensors
Data pubblicazione
30/11/2019
Fonte
Di Francia G. et al. (eds) Sensors and Microsystems. AISEM 2019. Lecture Notes in Electrical Engineering, vol 629. Springer, Cham
https://doi.org/10.1007/978-3-030-37558-4_62