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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Bibliografski detalji

Glavni autori:	V. Rajakumareswaran, K. V. Uma, Sheshagiri Babu, N. Rajkumar
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2026-03-01
Serija:	Scientific Reports
Teme:	Internet of nano-things WQ index Nanosensors WQ monitoring Water management
Online pristup:	https://doi.org/10.1038/s41598-026-42563-3
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