no code implementations • 21 Oct 2021 • Shoaib Meraj Sami, Mohammed Imamul Hassan Bhuiyan
In this paper, an Empirical Mode Decomposition-based method is proposed for the detection of transformer faults from Dissolve gas analysis (DGA) data.
no code implementations • 21 Oct 2021 • Shoaib Meraj Sami, Mohammed Imamul Hassan Bhuiyan
The proposed method's performance in classification is studied using publicly available DGA data of 376 power transformers and employing an XGBoost classifier.
no code implementations • 11 Feb 2021 • Shahriar Mahmud Kabir, Md. Sayed Tanveer, ASM Shihavuddin, Mohammed Imamul Hassan Bhuiyan
Specifically, with the support vector machine and k-nearest-neighbor classifier, very high accuracies of 97. 2% and 97. 55% can be obtained for the Mendeley Data and Dataset B, respectively, using the weighted contourlet parametric images. The reported classification performance is also compared with that of other works using the datasets employed in this paper.
1 code implementation • 8 Sep 2020 • Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan
Listening to lung sounds through auscultation is vital in examining the respiratory system for abnormalities.
no code implementations • 28 Apr 2019 • Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan
To the best of our knowledge, this is the first reported evaluation on using a deep convolutional RNN for medical image compression.
1 code implementation • 23 Apr 2019 • Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan
The experimental results demonstrate the superiority of the proposed network compared to the best existing method, providing a relative improvement in epoch-wise average accuracy of 6. 8% and 6. 3% on the household data and multi-source data, respectively.