Comparison of Imputation Methods for Activated Sludge Data: A Case Study on Imputing Missing Data

The activated sludge process is pivotal in wastewater treatment, with ongoing research into its process control methods. Modeling treatment plants aids in analyzing relationships among variables, supporting fault detection and operational decision-making. However, datasets from real-world treatment...

書誌詳細
出版年:	Waste
主要な著者:	Malini Deepak, Rabee Rustum
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2026-05-01
主題:	imputation techniques wastewater treatment activated sludge process missing data data analysis Kohonen Self-Organising Maps (KSOM)
オンライン･アクセス:	https://www.mdpi.com/2813-0391/4/2/17

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