10 citations · 15 across the 5 of their papers we have counts for
6 papers
Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier
Shoaib Meraj Sami, Mohammed Imamul Hassan Bhuiyan
An intrinsic time-scale decomposition (ITD) based method for power transformer fault diagnosis is proposed. Dissolved gas analysis (DGA) parameters are ranked according to their sk…
An EMD-based Method for the Detection of Power Transformer Faults with a Hierarchical Ensemble Classifier
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. Ratio-based DGA parameters ar…
Weighted Contourlet Parametric (WCP) Feature Based Breast Tumor Classification from B-Mode Ultrasound Image
Shahriar Mahmud Kabir, Md. Sayed Tanveer, ASM Shihavuddin +1
Automated detection of breast tumor in early stages using B-Mode Ultrasound image is crucial for preventing widespread breast cancer specially among women. This paper is primarily…
A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid Scalogram
Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil +2
Listening to lung sounds through auscultation is vital in examining the respiratory system for abnormalities. Automated analysis of lung auscultation sounds can be beneficial to th…
X-Ray Image Compression Using Convolutional Recurrent Neural Networks
Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun +2
In the advent of a digital health revolution, vast amounts of clinical data are being generated, stored and processed on a daily basis. This has made the storage and retrieval of l…
End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets
Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit, Taufiq Hasan +1
Humans approximately spend a third of their life sleeping, which makes monitoring sleep an integral part of well-being. In this paper, a 34-layer deep residual ConvNet architecture…