Artificial Neural Network Modeling for Methylene Blue Adsorption onto Rice Husk: Performance Evaluation and Adsorption Kinetics Prediction

The increasing use of synthetic dyes in various industries results in significant environmental pollution, particularly concerning wastewater effluent that is often resistant to conventional biological treatment methods.

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Publication Details

Journal
International Journal of Scientific and Research Publications
Published
2025-06-24
DOI
https://doi.org/10.29322/ijsrp.15.06.2025.p16217
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
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article

Artificial Neural Network Modeling for Methylene Blue Adsorption onto Rice Husk: Performance Evaluation and Adsorption Kinetics Prediction

Yu-Ting Huang, Ming‐Cheng Shih
International Journal of Scientific and Research Publications
Water Quality Monitoring and Analysis
article

Artificial Neural Network Modeling for Methylene Blue Adsorption onto Rice Husk: Performance Evaluation and Adsorption Kinetics Prediction

Yu-Ting Huang, Ming‐Cheng Shih
article en

Abstract

The increasing use of synthetic dyes in various industries results in significant environmental pollution, particularly concerning wastewater effluent that is often resistant to conventional biological treatment methods.

International Journal of Scientific and Research PublicationsVol. 15(6)
Zero hunger
Openalex Percentile: Top 80%
Water Quality Monitoring and Analysis
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Artificial Neural Network Modeling for Methylene Blue Adsorption onto Rice Husk: Performance Evaluation and Adsorption Kinetics Prediction — Yu-Ting Huang, Ming‐Cheng Shih · International Journal of Scientific and Research Publications (2025) | TGRS Research Map | TGRS