An optimized convolutional neural network for arrhythmia classification

An optimized convolutional neural network for arrhythmia classification by Shan, Wei Chen

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Main Author: Shan, Wei Chen
Format: thesis
Language:zsm
Published: Tanjong Malim 2022
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spelling oai:ir.upsi.edu.my:95982023-10-20 https://ir.upsi.edu.my/detailsg.php?det=9598 An optimized convolutional neural network for arrhythmia classification Shan, Wei Chen Q Science Tanjong Malim 2022 thesis text zsm https://ir.upsi.edu.my/detailsg.php?det=9598 closedAccess An optimized convolutional neural network for arrhythmia classification by Shan, Wei Chen
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 zsm
topic Q Science
spellingShingle Q Science
Shan, Wei Chen
An optimized convolutional neural network for arrhythmia classification
description An optimized convolutional neural network for arrhythmia classification by Shan, Wei Chen
format thesis
author Shan, Wei Chen
author_facet Shan, Wei Chen
author_sort Shan, Wei Chen
title An optimized convolutional neural network for arrhythmia classification
title_short An optimized convolutional neural network for arrhythmia classification
title_full An optimized convolutional neural network for arrhythmia classification
title_fullStr An optimized convolutional neural network for arrhythmia classification
title_full_unstemmed An optimized convolutional neural network for arrhythmia classification
title_sort optimized convolutional neural network for arrhythmia classification
publisher Tanjong Malim
publishDate 2022
url https://ir.upsi.edu.my/detailsg.php?det=9598
https://ir.upsi.edu.my/detailsg.php?det=9598
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score 13.214268