AI-assisted predictive monitoring of process control parameters in a novel sequencing batch biofilm reactor for high-strength sewage treatment

= 0.918, RMSE = 0.173), confirming its reliability as a process monitoring tool for identifying biological phase endpoints in real-time. These findings establish the integration of AI-based predictive monitoring with advanced biofilm reactor technology as a practically viable and scientifically sound for high-strength sewage treatment.

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Publication Details

Journal
Journal of Environmental Science and Health Part A
Published
2026-05-31
DOI
https://doi.org/10.1080/10934529.2026.2682091
Primary Topic
Wastewater Treatment and Nitrogen Removal
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-assisted predictive monitoring of process control parameters in a novel sequencing batch biofilm reactor for high-strength sewage treatment

Sowndarya S, Somasundaram R.
Journal of Environmental Science and Health Part A
Wastewater Treatment and Nitrogen Removal
article

AI-assisted predictive monitoring of process control parameters in a novel sequencing batch biofilm reactor for high-strength sewage treatment

Sowndarya S, Somasundaram R.
article en

Abstract

= 0.918, RMSE = 0.173), confirming its reliability as a process monitoring tool for identifying biological phase endpoints in real-time. These findings establish the integration of AI-based predictive monitoring with advanced biofilm reactor technology as a practically viable and scientifically sound for high-strength sewage treatment.

Journal of Environmental Science and Health Part A
Sri Ramachandra Institute of Higher Education and Research (IN)
Clean water and sanitation
Openalex Percentile: Top 11%
Wastewater Treatment and Nitrogen Removal
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