AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models

AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models

Abstract The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning models in predicting key wastewater efflue...

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Bibliographic Details
Main Authors: Faruk Dikmen, Ahmet Demir, Bestami Özkaya, Muhammad Owais Raza, Jawad Rasheed, Tunc Asuroglu, Shtwai Alsubai
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Machine learning
Feature selection
Environmental engineering
Waste water treatment plan
Artificial intelligence
Online Access:https://doi.org/10.1038/s41598-025-07124-0
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https://doi.org/10.1038/s41598-025-07124-0

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