Soft Sensors Based on Deep Neural Networks for Applications in Security and Safety-Reference-Cited by-同舟云学术

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Soft Sensors Based on Deep Neural Networks for Applications in Security and Safety

Published:2020-10 Issue:10 Volume:69 Page:7869-7876
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xibilia Maria Gabriella^ORCID,Latino Mariangela^ORCID,Marinkovic Zlatica^ORCID,Atanaskovic Aleksandar^ORCID,Donato Nicola^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9195930/09058770.pdf?arnumber=9058770

Cited by 62 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stacked dynamic target regularization enhanced autoencoder for soft sensor in industrial processes;The Canadian Journal of Chemical Engineering;2024-08-20

2. Dual temporal attention mechanism-based convolutional LSTM model for industrial dynamic soft sensor;Measurement Science and Technology;2024-08-06

3. Integrating Dynamic State Information to Enhance Gas Concentration Modeling Accuracy;IEEE Sensors Journal;2024-06-01

4. Design and Evaluation of a Soft Sensor for Snow Weight Measurement;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

5. A Multitask Learning-Based Model for Gas Classification and Concentration Prediction;IEEE Sensors Journal;2024-04-01

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