Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Mohammed Hassanin"'
Publikováno v:
IEEE Access, Vol 8, Pp 28123-28132 (2020)
Fine-grained affordance segmentation for object parts can greatly benefit robotics and scene understanding applications. In this work, we propose an instance-segmentation framework that can accurately localize functionality and affordance of individu
Externí odkaz:
https://doaj.org/article/b5d2638c7a09410bab604d375885118a
Autor:
Gamal El-Nobi, Mohammed Hassanin, Alshimaa A. Khalil, Alaa Y. Mohammed, Shimaa A. Amer, Metwally M. Montaser, Mohamed E. El-sharnouby
Publikováno v:
Antibiotics, Vol 10, Iss 5, p 567 (2021)
Synbiotic (SYN) additives were assessed as an antibiotic alternative on the effects on the nonspecific immune response and disease resistance of O. niloticus to P. aeruginosa. Healthy fish (n = 120, average initial weight 18 ± 2 g) were allotted ran
Externí odkaz:
https://doaj.org/article/c724d2af8de743bdbea95b560d2091fc
Autor:
Nour Moustafa, Izhar Ahmed Khan, Mohammed Hassanin, David Ormrod, Dechang Pi, Imran Razzak, Jill Slay
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::874dc6754329eed88b529e70be2f93f5
https://doi.org/10.1109/tii.2022.3214652
https://doi.org/10.1109/tii.2022.3214652
Publikováno v:
The Medical Journal of Cairo University. 90:2033-2038
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a70c1a7c97cb0ac0ca3c2a8edd4e6d53
https://doi.org/10.21608/mjcu.2022.286935
https://doi.org/10.21608/mjcu.2022.286935
Publikováno v:
Egyptian Journal of Anaesthesia. 38:521-528
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::617c7519650695e73e7d1253b0b02325
https://doi.org/10.1080/11101849.2022.2124660
https://doi.org/10.1080/11101849.2022.2124660
Publikováno v:
IEEE Transactions on Engineering Management. :1-12
Refereed/Peer-reviewed Learning robust features against adversarial attacks is a challenging task that requires highly complex models, especially on aerial images, because they are subject to environmental and adversarial changes. Embedding hypersphe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cea41ce5d31d845e9d549859c93cf12a
https://doi.org/10.1109/tem.2022.3194487
https://doi.org/10.1109/tem.2022.3194487
Autor:
Saber Elsayed, Mohammed Hassanin
Controlling a swarm of agents to complete specific missions has become essential for many industries. Several techniques have been introduced to achieve this goal. However, controlling large-scale swarms has not been fully explored yet. This paper ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e2c8ea389498a9491e4365f508bbfe0
https://hdl.handle.net/11541.2/34527
https://hdl.handle.net/11541.2/34527
Publikováno v:
ACM Computing Surveys. 54:1-35
Nowadays, robots are dominating the manufacturing, entertainment and healthcare industries. Robot vision aims to equip robots with the ability to discover information, understand it and interact with the environment. These capabilities require an age
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15a4d5f4e0698471b19d8e5ce9a2abbc
https://doi.org/10.1145/3446370
https://doi.org/10.1145/3446370
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3980adfce0d384e54461f70c1ead680a
https://doi.org/10.2139/ssrn.4212324
https://doi.org/10.2139/ssrn.4212324
Learning discriminative features with adversarial behaviors can be extremely challenging to build a robust learning model. This is partly evidenced by the difficulties in training robust maximum-margin models (e.g., ArcFace and CosFace) that cannot d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a436e7d3abdbc2f1ede3b3c851597508
https://hdl.handle.net/11541.2/29252
https://hdl.handle.net/11541.2/29252