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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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Principais autores: Wenyan He, Wen Xin, Qingfeng Wang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-05-01
Serier:Sensors
Fag:
electronic nose
gas identification
concentration prediction
Gramian angular field
recurrent neural network
attention mechanism
Online adgang:https://www.mdpi.com/1424-8220/26/10/2953
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