A Machine Learning-based Algorithm for Water Network Contamination Source Localization

A Machine Learning-based Algorithm for Water Network Contamination Source Localization

In this paper, a novel machine learning based algorithm for water supply pollution source identification is presented built specifically for high performance parallel systems. The algorithm utilizes the combination of Artificial Neural Networks for classification of the pollution source with Random...

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Bibliographic Details
Main Authors: Luka Grbčić, Ivana Lučin, Lado Kranjčević, Siniša Družeta
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
machine learning
artificial neural networks
random forests
water network pollution
sensor networks
parallel computing
Online Access:https://www.mdpi.com/1424-8220/20/9/2613

Internet

https://www.mdpi.com/1424-8220/20/9/2613

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