Articles | Volume 9, issue 2
https://doi.org/10.5194/dwes-9-37-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.Application of machine learning for real-time evaluation of salinity (or TDS) in drinking water using photonic sensors
Related subject area
Tools: Sensoring and monitoring
Qualitative and quantitative monitoring of drinking water through the use of a smart electronic tongue
Design methodology to determine the water quality monitoring strategy of a surface water treatment plant in the Netherlands
Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach
Real-time hydraulic interval state estimation for water transport networks: a case study
Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring
Drink. Water Eng. Sci., 15, 25–34,
2022Drink. Water Eng. Sci., 13, 1–13,
2020Drink. Water Eng. Sci., 12, 31–37,
2019Drink. Water Eng. Sci., 11, 19–24,
2018Drink. Water Eng. Sci., 11, 9–17,
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