Deep Neural Network Regression‐Assisted Pressure Sensor for Decoupling Thermal Variations at Different Operating Temperatures

Decoupling environment‐dependent response in sensing techniques is essential for the diverse practical applications. This work presents a novel thermal effect decoupling method for sponge pressure sensors based on a deep neural network (DNN) regression model, which is difficult to achieve owing to t...

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Bibliografische Detailangaben

Hauptverfasser:	Joohyung Bang, Keuntae Baek, Jaeyoung Lim, Yongha Han, Hongyun So
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2023-11-01
Schriftenreihe:	Advanced Intelligent Systems
Schlagworte:	decoupling deep neural networks poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) pressure sensors thermal effects
Online-Zugang:	https://doi.org/10.1002/aisy.202300186
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