Zobrazeno 1 - 10
of 273
pro vyhledávání: '"Hammam, M"'
Autor:
Bilal, Mohsin, Jewsbury, Robert, Wang, Ruoyu, AlGhamdi, Hammam M., Asif, Amina, Eastwood, Mark, Rajpoot, Nasir
Image analysis and machine learning algorithms operating on multi-gigapixel whole-slide images (WSIs) often process a large number of tiles (sub-images) and require aggregating predictions from the tiles in order to predict WSI-level labels. In this
Externí odkaz:
http://arxiv.org/abs/2211.01256
Autor:
Ananzeh, Hammam M.1 (AUTHOR) 22070919@siswa.um.edu.my, Ramli, Rahizar1 (AUTHOR) rahizar@um.edu.my, Julai, Sabariah1 (AUTHOR), Muthalif, Asan G. A.2 (AUTHOR) rahizar@um.edu.my
Publikováno v:
Polymers (20734360). May2024, Vol. 16 Issue 9, p1215. 12p.
Autor:
Taalab, Z., Amer, M.I., Moustafa, S.H., Hashem, H.M., Emam- Ismail, M., Shaaban, E.R., Hammam, M., El-Hagary, M.
Publikováno v:
In Materials Science in Semiconductor Processing 15 November 2024 183
Autor:
Bilal, Mohsin, Jewsbury, Robert, Wang, Ruoyu, AlGhamdi, Hammam M., Asif, Amina, Eastwood, Mark, Rajpoot, Nasir
Publikováno v:
In Medical Image Analysis August 2023 88
Publikováno v:
Polymers, Vol 16, Iss 9, p 1215 (2024)
Magnetorheological (MR) materials are smart materials that can change their rheological characteristics when exposed to a magnetic field. Such rheological properties include viscosity and dynamic modulus. MR materials have emerged as one of the most
Externí odkaz:
https://doaj.org/article/97303ab4c0e74dc78c981665e636b1c4
Autor:
Ahmed Gaber Mabrouk, Alaa Hamdy, Hammam M. Abdelaal, Ahmed Gamal Elkattan, Motasem M. Elshourbagy, Hassan A. Youness Alansary
Publikováno v:
IEEE Access, Vol 9, Pp 5760-5768 (2021)
Diffuse liver diseases such as fatty liver and cirrhosis, are leading causes of disability and fatality across the world. Early diagnosis of these diseases is extremely important to save lives and improve the effectiveness of treatment. This study pr
Externí odkaz:
https://doaj.org/article/e6a3fe11cdc342aab52011d7a4e6b9bf
Autor:
Elmoubashar Abd Farag, Shariq Jaffrey, Faisal Daraan, Maha Hammam M. A. Al-Shamali, Fahmi Y. Khan, Peter V. Coyle, Francis Schaffner, Hamad Eid Al-Romaihi, Mohammed Al-Thani, Devendra Bansal
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 7, Iss 11, p 329 (2022)
(1) Background: Qatar does not have any indigenous cases of dengue; however, the influx of immigrants from dengue endemic countries, the environment, and climate suitability for Aedes vector mosquitoes suggest a potential risk for local transmission.
Externí odkaz:
https://doaj.org/article/a09209068dc44abfabc3d13f0286b25d
Publikováno v:
In Journal of Electrical Systems and Information Technology December 2018 5(3):363-370
Autor:
AbdElghfar, Hany A., Ahmed, Abdelmoty M., Alani, Ali A., AbdElaal, Hammam M., Bouallegue, Belgacem, Khattab, Mahmoud M., Youness, Hassan A.
Publikováno v:
Imaging Science Journal; Mar2024, Vol. 72 Issue 2, p254-266, 13p
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