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Water quality anomaly detection research based on GRU-PINN model

Year: 2025

Type: article

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/e3sconf/202562801003/pdf

Author: Xinyu Zhao

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W7127068272

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