Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nihal Abuzinadah"'
Autor:
Nouf Abdullah Almujally, Turki Aljrees, Muhammad Umer, Oumaima Saidani, Danial Hanif, Nihal Abuzinadah, Khaled Alnowaiser, Imran Ashraf
Publikováno v:
PeerJ Computer Science, Vol 9, p e1493 (2023)
The COVID-19 pandemic caused millions of infections and deaths globally requiring effective solutions to fight the pandemic. The Internet of Things (IoT) provides data transmission without human intervention and thus mitigates infection chances. A ro
Externí odkaz:
https://doaj.org/article/7185330e651f456db42c9132ca1f186f
Autor:
Xiaoyuan Chen, Turki Aljrees, Muhammad Umer, Hanen Karamti, Saba Tahir, Nihal Abuzinadah, Khaled Alnowaiser, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf
Publikováno v:
PeerJ Computer Science, Vol 9, p e1469 (2023)
The content of music is not always suitable for all ages. Industries that manage music content are looking for ways to help adults determine what is appropriate for children. Lyrics of songs have become increasingly inappropriate for kids and can neg
Externí odkaz:
https://doaj.org/article/855a3982a33b4cec825be7cbce872ac8
Autor:
Nihal Abuzinadah, Muhammad Umer, Abid Ishaq, Abdullah Al Hejaili, Shtwai Alsubai, Ala' Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0293061 (2023)
Predicting student performance automatically is of utmost importance, due to the substantial volume of data within educational databases. Educational data mining (EDM) devises techniques to uncover insights from data originating in educational settin
Externí odkaz:
https://doaj.org/article/956d2d055baf41b182887ea4c8a5b7e8
Autor:
Nouf Abdullah Almujally, Turki Aljrees, Oumaima Saidani, Muhammad Umer, Zaid Bin Faheem, Nihal Abuzinadah, Khaled Alnowaiser, Imran Ashraf
Publikováno v:
Sensors, Vol 23, Iss 10, p 4580 (2023)
With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medica
Externí odkaz:
https://doaj.org/article/2b87faf0d9394c5f8008eb6c1e2e73b8
Autor:
Shoroog Ghazee Khenkar, Salma Kammoun Jarraya, Arwa Allinjawi, Samar Alkhuraiji, Nihal Abuzinadah, Faris A. Kateb
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2591 (2023)
In this paper, we propose new 3D CNN prediction models for detecting student engagement levels in an e-learning environment. The first generated model classifies students’ engagement to high positive engagement or low positive engagement. The secon
Externí odkaz:
https://doaj.org/article/03e45f6dac894c419fb5e5bf1ae0e4c6
Autor:
Nazik Alturki, Muhammad Umer, Abid Ishaq, Nihal Abuzinadah, Khaled Alnowaiser, Abdullah Mohamed, Oumaima Saidani, Imran Ashraf
Publikováno v:
Cancers; Volume 15; Issue 6; Pages: 1767
Brain tumors and other nervous system cancers are among the top ten leading fatal diseases. The effective treatment of brain tumors depends on their early detection. This research work makes use of 13 features with a voting classifier that combines l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a43196df7e816dbc98ce440e7780413
https://doi.org/10.3390/cancers15061767
https://doi.org/10.3390/cancers15061767
Autor:
Hamza Ahmad Madni, Muhammad Umer, Nihal Abuzinadah, Yu-Chen Hu, Oumaima Saidani, Shtwai Alsubai, Monia Hamdi, Imran Ashraf
Publikováno v:
Electronics; Volume 12; Issue 6; Pages: 1302
Widespread fear and panic has emerged about COVID-19 on social media platforms which are often supported by falsified and altered content. This mass hysteria creates public anxiety due to misinformation, misunderstandings, and ignorance of the impact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01bc74914d01dee3d189907c48d17852
https://doi.org/10.3390/electronics12061302
https://doi.org/10.3390/electronics12061302
Autor:
Hamza Ahmad Madni, Muhammad Umer, Abid Ishaq, Nihal Abuzinadah, Oumaima Saidani, Shtwai Alsubai, Monia Hamdi, Imran Ashraf
Publikováno v:
Water
Volume 15
Issue 3
Pages: 475
Volume 15
Issue 3
Pages: 475
Rapid expansion of the world’s population has negatively impacted the environment, notably water quality. As a result, water-quality prediction has arisen as a hot issue during the last decade. Existing techniques fall short in terms of good accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::551b097356a6e60ab9b136010bf2407d
https://doi.org/10.3390/w15030475
https://doi.org/10.3390/w15030475