Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nourah Aloboud"'
Publikováno v:
Sensors, Vol 21, Iss 21, p 7038 (2021)
Neonatal jaundice is a common condition worldwide. Failure of timely diagnosis and treatment can lead to death or brain injury. Current diagnostic approaches include a painful and time-consuming invasive blood test and non-invasive tests using costly
Externí odkaz:
https://doaj.org/article/d31694ae48de4f7a93eeb3c537c35f4a
Autor:
Alhanoof Althnian, Nourah Aloboud, Norah Alkharashi, Faten Alduwaish, Mead Alrshoud, Heba Kurdi
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 89 (2020)
Face gender recognition has many useful applications in human–robot interactions as it can improve the overall user experience. Support vector machines (SVM) and convolutional neural networks (CNNs) have been used successfully in this domain. Resea
Externí odkaz:
https://doaj.org/article/8834f64859e7448780be039186b7e215
Publikováno v:
EUSPN/ICTH
Procedia Computer Science
Procedia Computer Science
The transmission dynamics of COVID-19 depend largely on the structure of the underlying contact network and individuals susceptibility. The latter factor is a primary concern of Covid-19 since recent studies reported conflicting conclusions regarding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64002b35d8a754829ee52048fa01781f
https://doi.org/10.1016/j.procs.2020.10.051
https://doi.org/10.1016/j.procs.2020.10.051
Publikováno v:
Human-Computer Interaction. Design and User Experience ISBN: 9783030490584
HCI (1)
HCI (1)
E-government services provide citizens with an efficient way to manage their information. Achieving usability and accessibility within e-government websites is vital due to its role in facilitating online transactions for citizens. This paper provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed6ef0623b3a47cdd188fa9af0a1fe7b
https://doi.org/10.1007/978-3-030-49059-1_26
https://doi.org/10.1007/978-3-030-49059-1_26
Autor:
Norah Alkharashi, Nourah Aloboud, Heba Kurdi, Mead Alrshoud, Alhanoof Althnian, Faten Alduwaish
Publikováno v:
Applied Sciences
Volume 11
Issue 1
Applied Sciences, Vol 11, Iss 89, p 89 (2021)
Volume 11
Issue 1
Applied Sciences, Vol 11, Iss 89, p 89 (2021)
Face gender recognition has many useful applications in human&ndash
robot interactions as it can improve the overall user experience. Support vector machines (SVM) and convolutional neural networks (CNNs) have been used successfully in this doma
robot interactions as it can improve the overall user experience. Support vector machines (SVM) and convolutional neural networks (CNNs) have been used successfully in this doma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53825f95819d802a57718fd7f75826d0
https://doi.org/10.3390/app11010089
https://doi.org/10.3390/app11010089
Autor:
Althnian, Alhanoof, Aloboud, Nourah, Alkharashi, Norah, Alduwaish, Faten, Alrshoud, Mead, Kurdi, Heba
Publikováno v:
Applied Sciences (2076-3417); Jan2021, Vol. 11 Issue 1, p89, 16p
Autor:
Masaaki Kurosu
The three-volume set LNCS 12181, 12182, and 12183 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 22nd International Conference on Human-Computer Interaction, HCII 2020, which took place in Copenhagen, Denm