Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Vicko Bhayyu"'
Autor:
Siti Nurmaini, Radiyati Umi Partan, Wahyu Caesarendra, Tresna Dewi, Muhammad Naufal Rahmatullah, Annisa Darmawahyuni, Vicko Bhayyu, Firdaus Firdaus
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2921 (2019)
An automated classification system based on a Deep Learning (DL) technique for Cardiac Disease (CD) monitoring and detection is proposed in this paper. The proposed DL architecture is divided into Deep Auto-Encoders (DAEs) as an unsupervised form of
Externí odkaz:
https://doaj.org/article/61af7a064f1f424288cfb4c7fb48db01
Autor:
Annisa Darmawahyuni, Siti Nurmaini, Sukemi, Wahyu Caesarendra, Vicko Bhayyu, M Naufal Rachmatullah, Firdaus
Publikováno v:
Algorithms, Vol 12, Iss 6, p 118 (2019)
The interpretation of Myocardial Infarction (MI) via electrocardiogram (ECG) signal is a challenging task. ECG signals’ morphological view show significant variation in different patients under different physical conditions. Several learning algori
Externí odkaz:
https://doaj.org/article/d7b1daa90d8545d596735a7011512550
Autor:
Wahyu Caesarendra, Muhammad Naufal Rahmatullah, Vicko Bhayyu, Radiyati Umi Partan, Siti Nurmaini, Firdaus Firdaus, Tresna Dewi, Annisa Darmawahyuni
Publikováno v:
Applied Sciences
Volume 9
Issue 14
Applied Sciences, Vol 9, Iss 14, p 2921 (2019)
Volume 9
Issue 14
Applied Sciences, Vol 9, Iss 14, p 2921 (2019)
An automated classification system based on a Deep Learning (DL) technique for Cardiac Disease (CD) monitoring and detection is proposed in this paper. The proposed DL architecture is divided into Deep Auto-Encoders (DAEs) as an unsupervised form of