Package - ERIC

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Sensors and Automation
Data for: The Value of Human Data Annotation for Machine Learning based Anomaly Detection in Environmental Systems

This package contains the data and code necessary to run the experiments for our paper "The Value of Human Data Annotation for Machine Learning1based Anomaly Detection in...

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Management of Excreta, Wastewater and Sludge
Data for: Predictive models using “cheap and easy” field measurements: Can they fill a gap in planning, monitoring, and implementing fecal sludge management solutions?

The characteristics of fecal sludge delivered to treatment plants are highly variable. Adapting treatment process operations accordingly is challenging due to a lack of...

Wastewater
Data for: Predicting Microbial Water Quality in On-Site Water Reuse Systems with Online Sensors

Widespread implementation of on-site water reuse is hindered by the limited availability of monitoring approaches that ensure microbial quality during operation. In this study,...

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