Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model

Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model by Nurul Hila binti Zainuddin

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Main Author: Nurul Hila binti Zainuddin
Format: article
Language:English
Published: Tanjung Malim 2023
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Online Access:https://ir.upsi.edu.my/detailsg.php?det=10713
https://ir.upsi.edu.my/detailsg.php?det=10713
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spelling oai:ir.upsi.edu.my:107132024-07-15 https://ir.upsi.edu.my/detailsg.php?det=10713 Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model Nurul Hila binti Zainuddin N/A Tanjung Malim 2023 article text eng https://ir.upsi.edu.my/detailsg.php?det=10713 closedAccess Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model by Nurul Hila binti Zainuddin
institution Universiti Pendidikan Sultan Idris
building UPSI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Pendidikan Sultan Idris
content_source UPSI Digital IR
url_provider https://ir.upsi.edu.my/
language English
topic N/A
spellingShingle N/A
Nurul Hila binti Zainuddin
Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
description Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model by Nurul Hila binti Zainuddin
format article
author Nurul Hila binti Zainuddin
author_facet Nurul Hila binti Zainuddin
author_sort Nurul Hila binti Zainuddin
title Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
title_short Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
title_full Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
title_fullStr Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
title_full_unstemmed Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
title_sort enhancing covid-19 classification accuracy with a hybrid svm-lr model
publisher Tanjung Malim
publishDate 2023
url https://ir.upsi.edu.my/detailsg.php?det=10713
https://ir.upsi.edu.my/detailsg.php?det=10713
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