A three stage attention enabled stacked deep CNN-BiLSTM (ASDCBNet) model for end-to-end monitoring of wastewater treatment plant

A three stage attention enabled stacked deep CNN-BiLSTM (ASDCBNet) model for end-to-end monitoring of wastewater treatment plant

Abstract Rapid urbanization and industrialization have drastically increased wastewater generation, leading to a decline in water quality and threatening both ecosystems and public health. With over 40% of the global population lacking access to clean water, the role of wastewater treatment plants (...

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Bibliographic Details
Main Authors: S. Ullas, B. Uma Maheswari, Seshaiah Ponnekant, T. M. Mohan Kumar
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Applied Water Science
Subjects:
Water quality analysis
Sewage treatment plant
Sustainability
Deep learning
ASDCBNet
CNN-BiLSTM
Online Access:https://doi.org/10.1007/s13201-025-02575-2
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https://doi.org/10.1007/s13201-025-02575-2

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