Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Omar M. Fahmy"'
Publikováno v:
IEEE Access, Vol 12, Pp 48511-48529 (2024)
Wearable devices are currently of great importance in developing health management and care applications and devices especially for early breast cancer detection (BCD). This is supported by the novel innovations in materials and techniques to constru
Externí odkaz:
https://doaj.org/article/a30159eb17a142388df17d1150492506
Publikováno v:
AI, Vol 5, Iss 1, Pp 259-289 (2024)
Human behavior is regarded as one of the most complex notions present nowadays, due to the large magnitude of possibilities. These behaviors and actions can be distinguished as normal and abnormal. However, abnormal behavior is a vast spectrum, so in
Externí odkaz:
https://doaj.org/article/b62a38e6b4e448589d3d842cd92c54d9
Publikováno v:
IEEE Access, Vol 10, Pp 30846-30857 (2022)
Although the majority of existing License Plate (LP) recognition techniques have significant improvements in accuracy, they are still limited to ideal situations in which training data is correctly annotated with restricted scenarios. Moreover, image
Externí odkaz:
https://doaj.org/article/64cf2df1e20a41daa39dd91768e701b1
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 33, Iss 6, Pp 404-412 (2021)
Automatic segmentation of brain tumor from Magnetic Resonance Images (MRI) is one of the challenging tasks in computer vision. Many proposals investigate the use of Deep Neural Networks (DNN) in image segmentation as they have a high performance in a
Externí odkaz:
https://doaj.org/article/c0a132bcea4a4be596c9b0cf069decf1
Publikováno v:
Biosensors, Vol 13, Iss 1, p 87 (2023)
This paper presents the development of a new complete wearable system for detecting breast tumors based on fully textile antenna-based sensors. The proposed sensor is compact and fully made of textiles so that it fits conformably and comfortably on t
Externí odkaz:
https://doaj.org/article/3ef7010666f14e35b82b1f1eb2edb57e
Autor:
Ahmed A. Khalifa Magdy M. Ameen, Mohammed S. Ismaiel Yousef S. Yousef, Elshamandy, M.B.B.cH., Mariam M., Mostafa Mahmoud Omar M. Fahmy
Publikováno v:
The Medical Journal of Cairo University. 89:731-735
Background: Morbidly adherent placenta is considered one of the most life-threatening obstetric complications and may cause severe intra operative bleeding requiring massive blood transfusion. The challenge is how to preserve the uterus with less com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d94ef7dcf34d196a448e9a73f24a36a
https://doi.org/10.21608/mjcu.2021.167918
https://doi.org/10.21608/mjcu.2021.167918
Publikováno v:
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT).
The latest trend in multiple object tracking (MOT) is bending to utilize deep learning to improve tracking performance. With all advanced models such as R-CNN, YOLO, SSD, and RetinaNet, there will always be a time-accuracy trade-off which puts constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2750c12a532a3ff9d297f40501d7a7a
https://doi.org/10.1109/3ict53449.2021.9581542
https://doi.org/10.1109/3ict53449.2021.9581542
Publikováno v:
2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE).
Magnifying micro changes in motion and brightness of videos that are unnoticeable by the human visual system have recently been an interesting area to explore. In this paper, we explore this technique in 3D facial video identification, we utilize thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c447a3777363cb4ac6f30a73e055bdd6
https://doi.org/10.1109/iccece49321.2020.9231225
https://doi.org/10.1109/iccece49321.2020.9231225