Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mostafa S. Ibrahim"'
Publikováno v:
The Egyptian Journal of Forensic Sciences and Applied Toxicology. 23:1-14
Publikováno v:
Reviews in Medical Virology.
Autor:
Shaimaa, Sahmoud, Mostafa S, Ibrahim, Eman A, Toraih, Noha, Kamel, Manal S, Fawzy, Samar, Elfiky
Publikováno v:
Mediterranean Journal of Hematology and Infectious Diseases
Background The reduced rate of bone formation despite the availability of vitamin D has been reported in β-thalassemia. Genetic factors, together with environmental ones, could be implicated in this condition. Since vitamin D binding protein (VDBP)
Publikováno v:
Journal of Forensic Radiology and Imaging. 11:28-32
Background Estimation of the stature might be critical in the identification of skeletal remains. Usually, the small bones found among human remains are not only the most numerous, but also the best-preserved parts. Objective The primary aim of this
Publikováno v:
Forensic Imaging. 22:200390
Background: Sex determination of unidentified human remains is a crucial part of forensic medicine, as it is not always possible to obtain whole intact skeleton for analysis. Objective: to assess the reliability of frontal and maxillary sinuses measu
Publikováno v:
Mediterranean Journal of Hematology and Infectious Diseases. 12:e2020037
Introduction: The reduced rate of bone formation despite the availability of vitamin D has been reported in β-thalassemia. This suggests genetic factors together with environmental one can be implicated in this condition. Since vitamin D binding pro
Publikováno v:
WACV
We develop a novel framework for action localization in videos. We propose the Tube Proposal Network (TPN), which can generate generic, class-independent, video-level tubelet proposals in videos. The generated tubelet proposals can be utilized in var
Autor:
Greg Mori, Mostafa S. Ibrahim
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012182
ECCV (3)
ECCV (3)
Modeling structured relationships between people in a scene is an important step toward visual understanding. We present a Hierarchical Relational Network that computes relational representations of people, given graph structures describing potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b323e47fcc251738ffbde7f2479fae3
https://doi.org/10.1007/978-3-030-01219-9_44
https://doi.org/10.1007/978-3-030-01219-9_44
Publikováno v:
CVPR
Building a large image dataset with high-quality object masks for semantic segmentation is costly and time consuming. In this paper, we introduce a principled semi-supervised framework that only uses a small set of fully supervised images (having sem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3641cc8a5825778813084815c009a265
Publikováno v:
Volume: 24, Issue: 3 1967-1983
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
The paper presents a new efficient H.264/AVC$ 4 \times 4$ intraprediction scheme. The new prediction scheme is based on the best prediction matrix mode. The main idea behind the new prediction scheme is to combine the most usable intraprediction mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59062193dca33029daaca9e7c3e9d610
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35732/398691
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35732/398691