Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

書誌詳細
主要な著者:	Promita, Samanta Tabassum, Biswas, Simon Abhijet, Mozumder, Nisat Islam, Taharat, Mamur
その他の著者:	Uddin, Jia
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2022
主題:	Myocardial infarction Deep learning ECG signal CNN Transfer learning ConvNet VGG16 MobileNet InceptionV3 Cognitive learning theory (Deep learning) Neural networks (Computer science)
オンライン･アクセス:	http://hdl.handle.net/10361/16812

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