Graph neural network-based water contamination detection from community housing information
Introduction: Detecting water contamination in community housing is crucial for protecting public health. Early detection enables timely action to prevent waterborne diseases and ensures equitable access to safe drinking water. Traditional methods recommended by the Environmental Protection Agency (...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Environmental Engineering |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenve.2025.1488965/full |
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