Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Abu-Obaidah A"'
Autor:
Wael Farhan, Muhy Eddin Za'Ter, Qusai Abu Obaidah, Hisham Al Bataineh, Zyad Sober, Hussein Al Natsheh
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 103-110 (2021)
This paper proposes a novel approach to an automatic estimation of three speaker traits from Arabic speech: gender, emotion, and dialect. After showing promising results on different text classification tasks, the multi-task learning (MTL) approach i
Externí odkaz:
https://doaj.org/article/83418697d1d4489cbd64f9e253009397
Autor:
Naif Khalaf Alharbi, Osman H. Ibrahim, Ali Alhafufi, Samy Kasem, Ali Aldowerij, Raed Albrahim, Ali Abu-obaidah, Ali Alkarar, Faisal Altaib Bayoumi, Ali Mohammed Almansour, Musaad Aldubaib, Hail M. Al-Abdely, Hanan H. Balkhy, Ibrahim Qasim
Publikováno v:
Virology Journal, Vol 17, Iss 1, Pp 1-7 (2020)
Abstract Background Middle East Respiratory Syndrome coronavirus (MERS-CoV) is an emerging virus that infects humans and camels with no approved antiviral therapy or vaccine. Some vaccines are in development for camels as a one-health intervention wh
Externí odkaz:
https://doaj.org/article/7d42c3225e5e45f3a54ec954440aebd4
Autor:
Ali Mohammed Almansour, Faisal Bayoumi, Hanan H. Balkhy, Samy Kasem, Osman H. Ibrahim, Ali Alkarar, Ali Alhafufi, Ali Abu-obaidah, Ali Aldowerij, Ibrahim Qasim, Musaad Al-Dubaib, Hail M. Al-Abdely, Naif Khalaf Alharbi, Raed Albrahim
Publikováno v:
Virology Journal, Vol 17, Iss 1, Pp 1-7 (2020)
Virology Journal
Virology Journal
Background Middle East Respiratory Syndrome coronavirus (MERS-CoV) is an emerging virus that infects humans and camels with no approved antiviral therapy or vaccine. Some vaccines are in development for camels as a one-health intervention where vacci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c272431dde424f78997e0db835e9ca11
http://link.springer.com/article/10.1186/s12985-020-01347-5
http://link.springer.com/article/10.1186/s12985-020-01347-5
Publikováno v:
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d68fa425ab25340e51b909b1f4a5fd
https://doi.org/10.1109/uemcon53757.2021.9666682
https://doi.org/10.1109/uemcon53757.2021.9666682
Publikováno v:
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96fa6a6825ce21e9f1f04514a22e695b
https://doi.org/10.1109/uemcon53757.2021.9666483
https://doi.org/10.1109/uemcon53757.2021.9666483
Publikováno v:
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d73c8306a3471b44043e6b9c950f81d
https://doi.org/10.1109/uemcon53757.2021.9666635
https://doi.org/10.1109/uemcon53757.2021.9666635
Publikováno v:
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::091b161505897e66ebdd72f361ba77eb
https://doi.org/10.1109/uemcon53757.2021.9666738
https://doi.org/10.1109/uemcon53757.2021.9666738
Autor:
Alharbi, Naif Khalaf, Ibrahim, Osman H., Alhafufi, Ali, Kasem, Samy, Aldowerij, Ali, Albrahim, Raed, Abu-Obaidah, Ali, Alkarar, Ali, Bayoumi, Faisal Altaib, Almansour, Ali Mohammed, Musaad Aldubaib, Hail M. Al-Abdely, Balkhy, Hanan H., Qasim, Ibrahim
Additional file 1: Table S1. Anti-S1 MERS-CoV antibodies in young camels among different herds in Saudi Arabia. Camels were considered positive if ELISA ratio was 1.1 (confirmed positive) or > 0.8 (borderline/ indeterminate positive). Herds were from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c5b108d3348fbef940e1c4988d06244
Autor:
Muhy Eddin Za'ter, Hussein T. Al-Natsheh, Hisham al Bataineh, Zyad Sober, Wael Farhan, Qusai Abu Obaidah
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 103-110 (2021)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 103-110 (2021)
This paper proposes a novel approach to an automatic estimation of three speaker traits from Arabic speech: gender, emotion, and dialect. After showing promising results on different text classification tasks, the multi-task learning (MTL) approach i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e78c127cc1477defca47fa309fe09e3
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