Taiz University

output

20092026

most citedCardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings

219 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Houida Ahmed2 · h 5
M. Ladrem2 · h 7
A. Al-Haydari1 · h 5
Abdu Gumaei1
A. Khan1 · h 2
Anazida Zainal1
A. Refaie1 · h 4
A. Schäfer1 · h 16
Faisal Saeed1
Fuad A. Ghaleb1 · h 25
G. Lacagnina1 · h 9
G. Schierholz1 · h 48

collaborating institutions

Taibah UniversitySA3 papers
Universiti Putra MalaysiaMY3 papers
Bangladesh University of Engineering and TechnologyBD1 paper
Cairo UniversityEG1 paper
Deutsches Elektronen-Synchrotron DESYDE1 paper
Dr. Babasaheb Ambedkar Marathwada UniversityIN1 paper
École Normale Supérieure de KoubaDZ1 paper
ETH ZurichCH1 paper
Institute for Theoretical PhysicsCH1 paper
International Islamic University MalaysiaMY1 paper
Istituto Nazionale di Fisica Nucleare, Sezione di MilanoIT1 paper
King Fahd University of Petroleum and MineralsSA1 paper

Showing 2020 · eess.ASShow all

1 paper · 2 filters

eess.AS2020★ 219 cited

CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings

Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil +2

The alarmingly high mortality rate and increasing global prevalence of cardiovascular diseases signify the crucial need for early detection schemes. Phonocardiogram (PCG) signals h…