Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Somaya Al-Madeed"'
Autor:
Wadha Al-Khater, Somaya Al-Madeed
Publikováno v:
Alexandria Engineering Journal, Vol 89, Iss , Pp 39-52 (2024)
Currently, the detection of malware to prevent cybersecurity breaches is a raising a concern for millions of people around the globe. Even with the most recent updates, antivirus software can leave computer users vulnerable to malware threats and att
Externí odkaz:
https://doaj.org/article/2cce550724584363beebceaa7cb210e7
Publikováno v:
IET Image Processing, Vol 15, Iss 10, Pp 2332-2341 (2021)
Abstract Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective technique for multi‐
Externí odkaz:
https://doaj.org/article/729a08cb3a2b48bca596e742a6ce5e7a
Autor:
Tawsifur Rahman, Fajer A. Al-Ishaq, Fatima S. Al-Mohannadi, Reem S. Mubarak, Maryam H. Al-Hitmi, Khandaker Reajul Islam, Amith Khandakar, Ali Ait Hssain, Somaya Al-Madeed, Susu M. Zughaier, Muhammad E. H. Chowdhury
Publikováno v:
Diagnostics, Vol 11, Iss 9, p 1582 (2021)
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and prioritization of mortality miti
Externí odkaz:
https://doaj.org/article/6a5467f4129b46538c5fa93dd40cc8e7
Publikováno v:
IET Image Processing, Vol 15, Iss 10, Pp 2332-2341 (2021)
Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective technique for multi‐language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90f9045dbc234f899cff1e289ffa2b75
https://doi.org/10.1049/ipr2.12216
https://doi.org/10.1049/ipr2.12216
Publikováno v:
TEM Journal, Vol 10, Iss 4, Pp 1630-1637 (2021)
The recent years have witnessed an increased tendency to digitize historical manuscripts that not only ensures the preservation of these collections but also allows researchers and end-users’ direct access to these images. Recognition of Arabic han
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dae84b910aa32b797d9077b894cec59e
https://nrl.northumbria.ac.uk/id/eprint/48339/1/TEMJournalNovember2021_1630_1637.pdf
https://nrl.northumbria.ac.uk/id/eprint/48339/1/TEMJournalNovember2021_1630_1637.pdf
Autor:
Susu M. Zughaier, Muhammad E. H. Chowdhury, Reem S Mubarak, Somaya Al-Madeed, Fajer A. Al-Ishaq, Khandaker Reajul Islam, Fatima S. Al-Mohannadi, Tawsifur Rahman, Amith Khandakar, Ali Ait Hssain, Maryam Al-Hitmi
Publikováno v:
Diagnostics
Volume 11
Issue 9
Diagnostics, Vol 11, Iss 1582, p 1582 (2021)
Volume 11
Issue 9
Diagnostics, Vol 11, Iss 1582, p 1582 (2021)
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and prioritization of mortality miti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6186a5bc34f1f9504da8c83d391482c3
https://pubmed.ncbi.nlm.nih.gov/34573923
https://pubmed.ncbi.nlm.nih.gov/34573923
Due to the current COVID situation, there’s a huge need for crowd control as well as efficient social distancing. Security cameras are everywhere but personnel to monitor it are few. In this project, we use crowd counting and detection along with s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::699dc01300f86166c55c17839efcc005
https://hdl.handle.net/10576/16529
https://hdl.handle.net/10576/16529
Publikováno v:
Computer Science & Information Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba4161475c9929b30c510321baa00b23
https://doi.org/10.5121/csit.2018.80312
https://doi.org/10.5121/csit.2018.80312
Publikováno v:
AHS
In recent years, gait has been growing as a biometric for person recognition at a distance. However, factors such as view angles and carrying conditions often make this task challenging. This paper proposes a solution to this problem by modelling gai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7c52e16a18d9c42b1a5062ff303251a
https://hdl.handle.net/10576/12221
https://hdl.handle.net/10576/12221
Publikováno v:
IWBF
2017 5th International Workshop on Biometrics and Forensics (IWBF)
2017 5th International Workshop on Biometrics and Forensics (IWBF)
Real face recognition is a challenging problem especially when face images are subject to distortions. This paper presents an approach to tackle partial occlusion distortions present in real face recognition using a single training sample per person.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65c3d71593145df3a46eaf80d935640
https://hdl.handle.net/10576/16186
https://hdl.handle.net/10576/16186