Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Monibor Rahman"'
Autor:
Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna S. Shabalina
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2022)
This work investigates the efficacy of deep learning (DL) for classifying C100 superconducting radio-frequency (SRF) cavity faults in the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab. CEBAF is a large, high-power continuous
Externí odkaz:
https://doaj.org/article/4281285e32e14f208616587bbc69ea25
Autor:
Md. Monibor Rahman, Md. Shibly Sadique, Ahmed G. Temtam, Walia Farzana, L. Vidyaratne, Khan M. Iftekharuddin
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031089985
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f97132d6eaf8b60eceaf4a30e7ff3734
https://doi.org/10.1007/978-3-031-08999-2_40
https://doi.org/10.1007/978-3-031-08999-2_40
Autor:
Walia Farzana, Ahmed G. Temtam, Zeina A. Shboul, M. Monibor Rahman, M. Shibly Sadique, Khan M. Iftekharuddin
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031090011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f554a012c1a98ca040b940cd66015f
https://doi.org/10.1007/978-3-031-09002-8_32
https://doi.org/10.1007/978-3-031-09002-8_32
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
A brain tumor is an uncontrolled growth of cancerous cells in the brain. Accurate segmentation and classification of tumors are critical for subsequent prognosis and treatment planning. This work proposes context aware deep learning for brain tumor s
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030466428
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
In this paper, we propose a UNet-VAE deep neural network architecture for brain tumor segmentation and survival prediction. UNet-VAE architecture has shown great success in brain tumor segmentation in the multimodal brain tumor segmentation (BraTS) 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c74a78c7c740bf5534fe70a4b5cab442
https://doi.org/10.1007/978-3-030-46643-5_7
https://doi.org/10.1007/978-3-030-46643-5_7
Publikováno v:
2018 International Conference on Innovation in Engineering and Technology (ICIET).
More than 400 million people in the world have diabetes. High-risk factors of diabetic individuals vary dramatically, and many patients suffer complications and avoidable harm. Improving the identification level of high-risk factors would help to red
Publikováno v:
2016 9th International Conference on Electrical and Computer Engineering (ICECE).
Solid State Transformer (SST), a power electronics based transformer, tends to replace conventional bulk size transformer for distribution of electric power. In this paper a SST has been designed in which cascading has been done for interfacing high
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