Accurate water quality assessment using IoNT-enabled deep learning frameworks
Abstract This work proposes a novel Internet of Nano-Things (IoNT)-driven real-time system architecture of water quality (WQ) observation and classification through a Convolutional Neural Network (CNN) framework, comprising WQI-CNN. The proposed system will be organized into four stages, namely, the...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2026-03-01
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| Serier: | Scientific Reports |
| Fag: | |
| Online adgang: | https://doi.org/10.1038/s41598-026-42563-3 |
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