Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hassan, Hayat A."'
Autor:
Sulieman, Abdellatief A., Zhu, Ke-Xue, Peng, Wei, Hassan, Hayat A., Obadi, Mohammed, Siddeeg, Azhari, Zhou, Hui-Ming
Publikováno v:
In Food Chemistry 15 January 2019 271:193-203
Publikováno v:
Sensors, Vol 22, Iss 14, p 5245 (2022)
In supervised learning, the generalization capabilities of trained models are based on the available annotations. Usually, multiple annotators are asked to annotate the dataset samples and, then, the common practice is to aggregate the different anno
Externí odkaz:
https://doaj.org/article/b02a457075ad41fcbd96848643cba4c6
Publikováno v:
World Journal of Science, Technology and Sustainable Development, 2018, Vol. 15, Issue 3, pp. 278-286.
Akademický článek
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Publikováno v:
Sensors; Volume 22; Issue 14; Pages: 5245
In supervised learning, the generalization capabilities of trained models are based on the available annotations. Usually, multiple annotators are asked to annotate the dataset samples and, then, the common practice is to aggregate the different anno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6a7457631855cb3b6eaf3fac2eb3486
Autor:
Kiran Iqbal Masood, Shama Qaiser, Syed Abidi, Erum Khan, Syed Faisal Mahmood, areeba Hussain, Zara Ghous, Kehkashan Imtiaz, Natasha Ali, Hassan Hayat, Haris Ali Memon, Maliha Yameen, Shiza Ali, Gulzar Lakhani, Sadaf Baloch, Paula Alves, Najeeha Talat Iqbal, Kumail Ahmed, Junaid Mehmood, Zulfiqar A Bhutta, Rabia Hussain, Martin Rottenberg, J. Pedro Simas, Marc Veldhoen, Kulsoom Ghias, Zahra Hasan
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::112d29fde2a424a72b9427fdae81eb64
https://doi.org/10.2139/ssrn.4065417
https://doi.org/10.2139/ssrn.4065417
Autor:
Rehmat Ullah, Hassan Hayat, Afsah Abid Siddiqui, Uzma Abid Siddiqui, Jebran Khan, Farman Ullah, Shoaib Hassan, Laiq Hasan, Waleed Albattah, Muhammad Islam, Ghulam Mohammad Karami
Publikováno v:
Mathematical Problems in Engineering.
This paper aims to develop a machine learning and deep learning-based real-time framework for detecting and recognizing human faces in closed-circuit television (CCTV) images. The traditional CCTV system needs a human for 24/7 monitoring, which is co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc5ffe27ab33c6179a3065b432465f19
Publikováno v:
ACII
Understanding the emotional impact of movies has become important for affective movie analysis, ranking, and indexing. Methods for recognizing evoked emotions are usually trained on human annotated data. Concretely, viewers watch video clips and have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bb3b9d7803fe5cd41b2a94ac2e58610
https://doi.org/10.1109/acii52823.2021.9597464
https://doi.org/10.1109/acii52823.2021.9597464
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Abdelseed, Babiker H.1, Hassan, Hayat A.1, Adiamo, Oladipupo Q.2, Ahmed, Suha O.3, Babiker, Elfadil E.1,2 elfadilbabiker@yahoo.com
Publikováno v:
Annals: Food Science & Technology. 2018, Vol. 19 Issue 4, p810-816. 7p.