no code implementations • 1 Oct 2021 • Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman
To address this issue, in this paper, we propose an ensemble-based multi-criteria decision making (MCDM) method for selecting top performance machine learning technique(s) for COVID-19 cough classification.
no code implementations • 24 Sep 2020 • Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Noortaz Rezoana
This paper proposed an ensemble of deep convolutional neural networks (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 using a large chest X-ray data set.
no code implementations • 29 Jul 2020 • Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir
The experimental results demonstrate that our proposed method significantly improves performance metrics: accuracy, precision, recall, and F1 scores reach 96. 58%, 96. 58%, 96. 59%, and 96. 58%, respectively, which is comparable or enhanced compared with the state-of-the-art methods.