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SNELM: SqueezeNet-Guided ELM for COVID-19 Recognition

  • Published:2023 Issue:1 Volume:46 Page:13-26
  • ISSN:0267-6192
  • Container-title:Computer Systems Science and Engineering
  • language:en
  • Short-container-title:

Author:

Zhang Yudong,Attique Khan Muhammad,Zhu Ziquan,Wang Shuihua

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Reference21 articles.

1. COVID-19 pcr test, cluster of false positive and importance of quality control;Joob;Clinical Laboratory,2020

2. Generalized exponential fuzzy entropy approach for automatic segmentation of chest ct with COVID-19 infection;Alotaibi;Complexity,2022

3. Novel feature selection and voting classifier algorithms for COVID-19 classification in ct images;El-kenawy;IEEE Access,2020

4. Diagnosis of COVID-19 by wavelet renyi entropy and three-segment biogeography-based optimization;Wu;International Journal of Computational Intelligence Systems,2020

5. A seven-layer convolutional neural network for chest ct based COVID-19 diagnosis using stochastic pooling;Zhang;IEEE Sensors Journal,2020

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