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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Xehetasun bibliografikoak

Egile Nagusiak:	Wenyan He, Wen Xin, Qingfeng Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-05-01
Saila:	Sensors
Gaiak:	electronic nose gas identification concentration prediction Gramian angular field recurrent neural network attention mechanism
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/26/10/2953
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