Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Ahmed, Nizar"'
Publikováno v:
IEEE Access, Vol 11, Pp 50350-50363 (2023)
The vision system of humanoid robots is one of the essential components that allow them to do complex activities. This has led to numerous studies on artificial gaze stabilization, many of which are based on biological vision system reflexes. The gaz
Externí odkaz:
https://doaj.org/article/f46889469dc2470d949e3ad3f656bcd7
Autor:
Taha Abo-Almagd Abdel-Meguid Hamoda, Omar Bahassan, Abdullah Majed Almalki, Ali Hasan Alkhzaim, Ahmed Nizar Khogeer, Ehab Mahmoud Ahmed, Kamal Algarni
Publikováno v:
Urology Annals, Vol 15, Iss 3, Pp 340-348 (2023)
Brucellosis is an endemic zoonotic disease caused by intracellular gram-negative coccobacilli called Brucella. This infectious disease may implicate many farm animals and is transmissible to exposed humans. Brucellosis is potentially life-threatening
Externí odkaz:
https://doaj.org/article/f32f3b32ea614929b9a9a5004eed82c5
Autor:
AHMED, Nizar1 nizar.ahmed@ceng.deu.edu.tr, ALPKOÇAK, Adil2
Publikováno v:
Turkish Journal of Electrical Engineering & Computer Sciences. 2022, Vol. 30 Issue 6, p2054-2072. 19p.
Publikováno v:
Journal of Clinical & Diagnostic Research; Apr2024, Vol. 18 Issue 4, p31-35, 5p
Autor:
Abdel-Meguid Hamoda, Taha Abo-Almagd, Bahassan, Omar, Almalki, Abdullah Majed, Alkhzaim, Ali Hasan, Khogeer, Ahmed Nizar, Ahmed, Ehab Mahmoud, Algarni, Kamal
Publikováno v:
Urology Annals; Jul-Sep2023, Vol. 15 Issue 3, p340-348, 9p
Object Detection is a core computer-vision technique that detects the presence and location of an object in an image or in a sequence of images (video). Once an instance has been detected, it assigns a unique identification to it. It also has the abi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0120879a8e09dc2dab69d27c6e947725
Akademický článek
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Publikováno v:
Turkish Journal of Electrical Engineering and Computer Sciences. 30:2054-2072
It is necessary to develop an explainable model to clarify how and why a medical model makes a particular decision. Local posthoc explainable AI (XAI) techniques, such as SHAP and LIME, interpret classification system predictions by displaying the mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c2e996b621d7cc0f0c3b5c23da85fd2
https://doi.org/10.55730/1300-0632.3924
https://doi.org/10.55730/1300-0632.3924
Publikováno v:
2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85303b7d7a37b060043cc54201103868
https://doi.org/10.1109/conecct55679.2022.9865730
https://doi.org/10.1109/conecct55679.2022.9865730
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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