Automatic Quantization of Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-Ray Image Classification-Reference-Cited by-同舟云学术

Automatic Quantization of Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-Ray Image Classification

Published:2023 Issue: Volume: Page:125-137
ISSN:0302-9743
Container-title:Computational Collective Intelligence
language:
Short-container-title:

Author:

Tmamna Jihene^ORCID,Ayed Emna Ben^ORCID,Ayed Mounir Ben^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-41456-5_10

Reference33 articles.

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4. Midani, W., Ouarda, W., Ayed, M.B.: Deeparr: an investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ecg) signals. Biomed. Signal Process. Control 85, 104954 (2023)

5. Tmamna, J., Ayed, E.B., Ayed, M.B., Deep learning for internet of things in fog computing: survey and open issues. In: 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), vol. 2020, pp. 1–6. IEEE (2020)

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