ArticleEngineering in life sciences2023
Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process.
Article in Engineering in life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- XGBoost-Assisted Effluent Ammonium Buffer-First Aeration Scheduling for Wastewater Treatment Under Influent Disturbances: A BSM2 Study.Water environment research : a research publication of the Water Environment Federation · 2026Article
- Prediction of biomass and nutrients removal behavior in membrane photobioreactor through using computational AI algorithms.Scientific reports · 2026Article
- Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process.Engineering in life sciences · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The biological treatment process is responsible for removing organic and inorganic matter in wastewater. This process relies heavily on microorganisms to successfully remove organic and inorganic matter. The aim of the study was to model biomass growth in the biological treatment process. Multilayer perceptron (MLP) Artificial Neural Network (ANN) algorithm was used to model biomass growth. Three metrics: coefficient of determination (
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Registered trials
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