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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Autori principali:	Wenyan He, Wen Xin, Qingfeng Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-05-01
Serie:	Sensors
Soggetti:	electronic nose gas identification concentration prediction Gramian angular field recurrent neural network attention mechanism
Accesso online:	https://www.mdpi.com/1424-8220/26/10/2953
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