Classification Model for Covid-19 Detection Through Recording of Cough Using XGboost Classifier Algorithm-Reference-Cited by-同舟云学术

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Classification Model for Covid-19 Detection Through Recording of Cough Using XGboost Classifier Algorithm

Published:2021-06-29 Issue: Volume: Page:
ISSN:
Container-title:2021 International Symposium on Electronics and Smart Devices (ISESD)
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Author:

Irawati Mesayu Elida,Zakaria Hasballah

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9501398/9501401/09501695.pdf?arnumber=9501695

Cited by 10 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. Enhancing testing cell set efficiency: A machine learning approach on hard disk drive data;Manufacturing Review;2024

2. Machine learning harmonies: Cough signal classification for early disease detection;AIP Conference Proceedings;2024

3. Covid-19 Detection Through Cough Sounds: A Comparative Study Using XGboost and RESNET;2023 International Conference on Innovations in Engineering and Technology (ICIET);2023-07-13

4. Using Feature Selection from XGBoost to Predict MIC Values with Neural Networks;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. COVID-19 Detection on X-Ray Image Using Deep Learning;2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM);2023-02-22

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