Version 1
: Received: 30 October 2022 / Approved: 1 November 2022 / Online: 1 November 2022 (01:22:10 CET)
How to cite:
Medvedev, I.; Polusmackova, K.; Galazis, C.; Lorant, B.; Tardy, G.; Losev, A.; Goryanin, I. Using AI and BES/MFC to Decrease BOD5 Measurements Prediction Time. Preprints2022, 2022110006. https://doi.org/10.20944/preprints202211.0006.v1
Medvedev, I.; Polusmackova, K.; Galazis, C.; Lorant, B.; Tardy, G.; Losev, A.; Goryanin, I. Using AI and BES/MFC to Decrease BOD5 Measurements Prediction Time. Preprints 2022, 2022110006. https://doi.org/10.20944/preprints202211.0006.v1
Medvedev, I.; Polusmackova, K.; Galazis, C.; Lorant, B.; Tardy, G.; Losev, A.; Goryanin, I. Using AI and BES/MFC to Decrease BOD5 Measurements Prediction Time. Preprints2022, 2022110006. https://doi.org/10.20944/preprints202211.0006.v1
APA Style
Medvedev, I., Polusmackova, K., Galazis, C., Lorant, B., Tardy, G., Losev, A., & Goryanin, I. (2022). Using AI and BES/MFC to Decrease BOD<sub>5</sub> Measurements Prediction Time. Preprints. https://doi.org/10.20944/preprints202211.0006.v1
Chicago/Turabian Style
Medvedev, I., Alexander Losev and Igor Goryanin. 2022 "Using AI and BES/MFC to Decrease BOD<sub>5</sub> Measurements Prediction Time" Preprints. https://doi.org/10.20944/preprints202211.0006.v1
Abstract
Biochemical oxygen demand (BOD) is one of the most important factors to consider when evaluating water contamination. BOD5 is the amount of oxygen consumed in five days by microorganisms that oxidize biodegradable organic materials in an aerobic biochemical manner. The primary objective of this effort is to use microbial fuel cells (MFCs) to shorten the time required for BOD5 measurements. We created a regression artificial neural network (AI), and the predictions we obtained for BOD5 measurements were taken over 6 – 24 hours with an average error of just 7%. The outcomes demonstrated by our AI MFC/BES BOD5 sensor’s viability for use in real-world scenarios.
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
