Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohammed Abdulla Salim Al Husaini"'
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-21 (2024)
Abstract In this study, we propose a framework that enhances breast cancer classification accuracy by preserving spatial features and leveraging in situ cooling support. The framework utilizes real-time thermography video streaming for early breast c
Externí odkaz:
https://doaj.org/article/4bfc7dd94d614e23a18e06a356c3fd29
Autor:
Naser Ahmad Naser Muhaisen, Mohamed Hadi Habaebi, Fakher Eldin M Suliman, Sheroz Khan, Elfatih AA Elsheikh, Md. Rafiqul Islam, Mohammed Abdulla Salim Al Husaini
Publikováno v:
Energy Exploration & Exploitation, Vol 42 (2024)
Nowadays, the surge in energy demand due to economic growth and extreme weather conditions has put immense pressure on the usage of fossil fuels in Kuwait. As a result, scheduled load-shedding is performed in some regions during the summer season to
Externí odkaz:
https://doaj.org/article/c206001a9b1c4e12b939b623a21de72c
Autor:
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, F. M. Suliman, Md Rafiqul Islam, Elfatih A. A. Elsheikh, Naser A. Muhaisen
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8752 (2023)
This article presents a numerical simulation model using COMSOL software to study breast thermophysical properties. It analyzes tumor heat at different locations within the breast, records breast surface temperatures, investigates the effects of fact
Externí odkaz:
https://doaj.org/article/15c09b4eee12439184e1344e3cb1a148
Autor:
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Shihab A. Hameed, Md. Rafiqul Islam, Teddy Surya Gunawan
Publikováno v:
IEEE Access, Vol 8, Pp 208922-208937 (2020)
Breast cancer plays a significant role in affecting female mortality. Researchers are actively seeking to develop early detection methods of breast cancer. Several technologies contributed to the reduction in mortality rate from this disease, but ear
Externí odkaz:
https://doaj.org/article/c967efaab5c847dbbdac15fd12d963e5
Autor:
Mohamed Hadi Habaebi, Rafiqul Islam, Elfatih A. A. Elsheikh, Teddy Surya Gunawan, Mohammed Abdulla Salim Al Husaini, F.M. Suliman
Publikováno v:
Neural Computing & Applications
Breast cancer is one of the most significant causes of death for women around the world. Breast thermography supported by deep convolutional neural networks is expected to contribute significantly to early detection and facilitate treatment at an ear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6f3b690757bfc283de27ddbed8fb55a
https://doi.org/10.1007/s00521-021-06372-1
https://doi.org/10.1007/s00521-021-06372-1
Autor:
Teddy Surya Gunawan, Mohamed Hadi Habaebi, Shihab A. Hameed, Md. Rafiqul Islam, Mohammed Abdulla Salim Al Husaini
Publikováno v:
IEEE Access, Vol 8, Pp 208922-208937 (2020)
Breast cancer plays a significant role in affecting female mortality. Researchers are actively seeking to develop early detection methods of breast cancer. Several technologies contributed to the reduction in mortality rate from this disease, but ear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8940d839f51af9c8162e422289a4e497
https://ieeexplore.ieee.org/document/9261422/
https://ieeexplore.ieee.org/document/9261422/
Autor:
Mohamed Hadi Habaebi, Mohammed Abdulla Salim Al Husaini, Shihab A. Hameed, Rafiqul Islam, Teddy Surya Gunawan
Publikováno v:
2021 8th International Conference on Computer and Communication Engineering (ICCCE).
Thermography is a non-invasive, passive imaging technique that is widely used in the medical profession, particularly for breast tumor diagnosis. This research paper suggests the examination of breast thermography through the utilize of Deep convolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::660a12d95c3c00764adaed5a6f1651d5
https://doi.org/10.1109/iccce50029.2021.9467231
https://doi.org/10.1109/iccce50029.2021.9467231