Scopus Documents

Total : 382

Q2
The deep convolutional networks for the classification of multi-class arrhythmia
Authors : SITI NURMAINI
Citation : 0
Cover Date : 2024-04-01
Type Doc : Journal
Publication Name : Bulletin of Electrical Engineering and Informatics
ISSN : 20893191
DOI : 10.11591/eei.v13i2.6102
Q1
An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG)
Authors : SITI NURMAINI
Citation : 0
Cover Date : 2024-04-01
Type Doc : Journal
Publication Name : PLoS ONE
ISSN :
DOI : 10.1371/journal.pone.0297551