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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Promita, Samanta Tabassum, Biswas, Simon Abhijet, Mozumder, Nisat Islam, Taharat, Mamur
Άλλοι συγγραφείς:	Uddin, Jia
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2022
Θέματα:	Myocardial infarction Deep learning ECG signal CNN Transfer learning ConvNet VGG16 MobileNet InceptionV3 Cognitive learning theory (Deep learning) Neural networks (Computer science)
Διαθέσιμο Online:	http://hdl.handle.net/10361/16812

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