Vicko Bhayyu
Sriwijaya University(ID)
Research Areas
EEG and Brain-Computer Interfaces, ECG Monitoring and Analysis, Phonocardiography and Auscultation Techniques, Retinal Imaging and Analysis, Digital Imaging for Blood Diseases
Most-Cited Works
- → An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsupervised Feature Extraction Technique(2019)94 cited
- → Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier(2019)66 cited
- Perbandingan Antara Metode Otsu Thresholding dan Multilevel Thresholding untuk Segmentasi Pembuluh Darah Retina(2019)
- KLASIFIKASI BEAT EKG SECARA DEEP LEARNING MENGGUNAKAN AUTOENCODER DAN DEEP NEURAL NETWORK(2019)