An IoT-ready solution for automated recognition of water contaminants

•Water contaminant detection based on machine learning.•Comparison among different machine learning algorithms on a real problem.•End-to-end solution integrating sensors, data processing and classification.•A framework for selecting a suitable machine learning solution for edge computing.•SENSIPLUS,...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Pattern recognition letters 2020-07, Vol.135, p.188-195
Hauptverfasser:	Bria, A., Cerro, G., Ferdinandi, M., Marrocco, C., Molinara, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Computer architecture Contaminants Embedded systems Learning algorithms Machine learning Pattern recognition Pollutant detection Recognition Sensors Water monitoring Water pollution
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!