Calcium Soft Sensor Based on the Combination of Support Vector Regression and 1-D Digital Filter for Water Quality Monitoring
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-07263-w.pdf
Reference50 articles.
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3. Dilmi, S.; Ladjal, M.: A novel approach for water quality classification based on the integration of deep learning and feature extraction techniques. Chemom. Intell. Lab. Syst. 214, 104329 (2021). https://doi.org/10.1016/j.chemolab.2021.104329
4. Banna, M.H.; Najjaran, H.; Sadiq, R.; Imran, S.A.; Rodriguez, M.J.; Hoorfar, M.: Miniaturized water quality monitoring pH and conductivity sensors. Sens. Actuators B Chem. 193, 434–441 (2014)
5. Zhuiykov, S.: Solid-state sensors monitoring parameters of water quality for the next generation of wireless sensor networks. Sens. Actuators B Chem. 161(1), 1–20 (2012)
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