Viral particle prediction in wastewater treatment plants using nonlinear lifelong learning models

Viral particle prediction in wastewater treatment plants using nonlinear lifelong learning models

Abstract Predicting new unseen data using only wastewater process inputs remains an open challenge. This paper proposes lifelong learning approaches that integrate long short-term memory (LSTM), gated recurrent unit (GRU) and tree-based machine learning models with knowledge-based dictionaries for r...

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Main Authors: Jianxu Chen, Ibrahima N’Doye, Yevhen Myshkevych, Fahad Aljehani, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati, Pei-Ying Hong
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:npj Clean Water
Online Access:https://doi.org/10.1038/s41545-025-00461-7
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https://doi.org/10.1038/s41545-025-00461-7

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