An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform

An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform

The problem of detecting illegal pollutants in wastewater is of fundamental importance for public health and security. The availability of distributed, low–cost and low–power monitoring systems, particularly enforced by IoT communication mechanisms and low-complexity machine learning algorithms, wou...

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Bibliographic Details
Main Authors: Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli, Andrea Ria, Mario Molinara
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Machine learning
Smart sensors
Wastewater
Anomaly detection
IoT
Supervised learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157822004360

Internet

http://www.sciencedirect.com/science/article/pii/S1319157822004360

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