no code implementations • 11 Sep 2023 • Haohui Lu, Shahadat Uddin
Graph Convolutional Networks, for instance, have been proven to be highly efficient for link prediction on a variety of datasets.
no code implementations • 6 Mar 2023 • Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio, Julian M. W. Quinn, Mohammad Ali Moni
The experimental results demonstrate that the proposed HARDC model significantly outperforms other existing models, achieving an accuracy of 99. 60\%, F1 score of 98. 21\%, a precision of 97. 66\%, and recall of 99. 60\% using MIT-BIH generated ECG.
no code implementations • 19 Nov 2020 • Sakifa Aktar, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz, AKM Azad, Shahadat Uddin, A H M Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni
Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation.