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

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...

Full description

Bibliographic Details
Main Authors: Joohyung Bang, Keuntae Baek, Jaeyoung Lim, Yongha Han, Hongyun So
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Advanced Intelligent Systems
Subjects:
decoupling
deep neural networks
poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)
pressure sensors
thermal effects
Online Access:https://doi.org/10.1002/aisy.202300186

Internet

https://doi.org/10.1002/aisy.202300186

Similar Items