activity
20192026
most citedAn EMD-based Method for the Detection of Power Transformer Faults with a Hierarchical Ensemble Classifier

10 citations · 16 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Learning from Compressed CT: Feature Attention Style Transfer and Structured Factorized Projections for Resource-Efficient Medical Image Analysis

Shadid Yousuf, S. M. Mahbubur Rahman, Mohammed Imamul Hassan Bhuiyan

The deployment of artificial intelligence in medical imaging is hindered by high computational complexity and resource-intensive processing of volumetric data. Although chest compu…

physics.optics2025★ 1 cited

Harnessing Topological Valley-Hall States in Photonic Crystals for Label-Free Refractive-Index Discrimination of Cancer Cell Lines

Junayet Hossain, Sajid Muhaimin Choudhury, Mohammed Imamul Hassan Bhuiyan

Topological photonic crystals (TPhCs) are the photonic analogs of topological insulators, inspired by the quantum Hall effect and its variants, including the integer, spin, and val…

cs.LG2021★ 2 cited

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…

cs.LG2021★ 10 cited

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…

eess.IV2021★ 3 cited

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…

eess.SP2020

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…

cs.CV2019

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…

cs.LG2019

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…