Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Bhuiyan, Mohammed"'
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 skewness, and then ITD based features extraction is performed. An optima
Externí odkaz:
http://arxiv.org/abs/2110.11467
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 are ranked using their skewness. Optimal sets of intrinsic mode function
Externí odkaz:
http://arxiv.org/abs/2110.11451
Autor:
Kabir, Shahriar Mahmud, Tanveer, Md. Sayed, Shihavuddin, ASM, Bhuiyan, Mohammed Imamul Hassan
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 focusing on the classification of breast tumors through statistical mo
Externí odkaz:
http://arxiv.org/abs/2102.05896
Publikováno v:
In Biomedical Signal Processing and Control February 2025 100 Part B
Autor:
Broder, Brittany A.1,2 (AUTHOR) brittany.broder@nist.gov, Bhuiyan, Mohammed1 (AUTHOR) makinen@uchicago.edu, Freifelder, Richard1 (AUTHOR), Rotsch, David A.3,4 (AUTHOR) rotschda@ornl.gov, Chitneni, Satish K.1 (AUTHOR), Makinen, Marvin W.1 (AUTHOR), Chen, Chin-Tu1 (AUTHOR) brittany.broder@nist.gov
Publikováno v:
Molecules. Feb2024, Vol. 29 Issue 4, p799. 12p.
Autor:
Shuvo, Samiul Based, Ali, Shams Nafisa, Swapnil, Soham Irtiza, Hasan, Taufiq, Bhuiyan, Mohammed Imamul Hassan
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 the health systems in low-resource settings where there is a lack of ski
Externí odkaz:
http://arxiv.org/abs/2009.04402
Autor:
Sushmit, Asif Shahriyar, Zaman, Shakib Uz, Humayun, Ahmed Imtiaz, Hasan, Taufiq, Bhuiyan, Mohammed Imamul Hassan
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 large volumes of health-care data, especially, high-resolution medical
Externí odkaz:
http://arxiv.org/abs/1904.12271
Autor:
Humayun, Ahmed Imtiaz, Sushmit, Asif Shahriyar, Hasan, Taufiq, Bhuiyan, Mohammed Imamul Hassan
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 for end-to-end sleep staging is proposed. The network takes raw singl
Externí odkaz:
http://arxiv.org/abs/1904.10255
Publikováno v:
In Biomedical Signal Processing and Control May 2023 83
Publikováno v:
In Biomedical Signal Processing and Control September 2022 78