DETECTION OF WASTEWATER POLLUTION THROUGH NATURAL LANGUAGE GENERATION WITH LOW-COST SENSING PLATFORM

Authors

  • Dr. A. Ravi Kumar, CH.Likhitha, J.Jyothi, M.Jaya Bhargavi

Keywords:

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Abstract

The detection of contaminants in severalenvironments (e.g., air, water, sewage systems) is of paramount importance toprotect people and predict possibledangerous circumstances. Most works do thisusing classical Machine Learning tools

References

L. T. Lee and E. R. Blatchley, “Long-term monitoring of water and air quality at an indoor pool

facility during modifications of water treatment,” Water, vol. 14, no. 3, 2022. [Online]. Available: https: //www.mdpi.com/2073-4441/14/3/335

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Published

2024-01-02

How to Cite

Dr. A. Ravi Kumar, CH.Likhitha, J.Jyothi, M.Jaya Bhargavi. (2024). DETECTION OF WASTEWATER POLLUTION THROUGH NATURAL LANGUAGE GENERATION WITH LOW-COST SENSING PLATFORM. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 718–730. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2676

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.