A Dual-Model Framework with Gramian Angular Field and Spatio-Temporal Attention for Rapid Gas Identification and Concentration Prediction

Rapid and accurate gas identification and concentration prediction are of critical importance for industrial safety, medical diagnostics, and environmental monitoring. However, signal distortion in complex environments and feature loss during data processing often degrade prediction accuracy and res...

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Hlavní autoři:	Wenyan He, Wen Xin, Qingfeng Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-05-01
Edice:	Sensors
Témata:	electronic nose gas identification concentration prediction Gramian angular field recurrent neural network attention mechanism
On-line přístup:	https://www.mdpi.com/1424-8220/26/10/2953
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