Feature Ensemble Learning for Sensor Array Data Classification Under Low-Concentration Gas-Reference-Cited by-同舟云学术

Feature Ensemble Learning for Sensor Array Data Classification Under Low-Concentration Gas

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhao Leilei¹^ORCID,Tian Fengchun²^ORCID,Qian Junhui¹^ORCID,Li Hantao¹^ORCID,Wu Zhiyuan¹^ORCID

Affiliation:

1. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China

2. Chongqing Key Laboratory of Bio-Perception and Intelligent Information Processing, Chongqing University, Chongqing, China

Funder

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10057438.pdf?arnumber=10057438

Reference35 articles.

1. Shallow Convolutional Neural Networks for Human Activity Recognition Using Wearable Sensors

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5. Validation of the rapid detection approach for enhancing the electronic nose systems performance, using different deep learning models and support vector machines;gamboa;Sens Actuators B Chem,2021

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