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...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Joohyung Bang, Keuntae Baek, Jaeyoung Lim, Yongha Han, Hongyun So
Format:	Artigo
Sprog:	Inglês
Udgivet:	Wiley 2023-11-01
Serier:	Advanced Intelligent Systems
Fag:	decoupling deep neural networks poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) pressure sensors thermal effects
Online adgang:	https://doi.org/10.1002/aisy.202300186
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!