Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Rawaa Al-Jumeily"'
Autor:
Shatha Ghareeb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Wasiq Khan, Rawaa Al-Jumeily, Thar Baker, Ahmed Al Shammaa, Mohammed Khalaf
Publikováno v:
Discover Internet of Things, Vol 2, Iss 1, Pp 1-25 (2022)
Abstract In this paper, a novel application of machine learning algorithms is presented for student levelling. In multicultural countries such as UAE, there are various education curriculums where the sector of private schools and quality assurance i
Externí odkaz:
https://doaj.org/article/40f7d02fdeb549bf885802a6cc450039
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106908- (2021)
A primary dataset is presented comprising student grading records and educational diversity information. The dataset is collected from two international schools, a British curriculum, and an American Curriculum schools based in Abu Dhabi, United Arab
Externí odkaz:
https://doaj.org/article/f1345b9f3bd64e2b9d186ace3d0eaad5
Publikováno v:
EDULEARN Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68a68365fc880303a98627883b68f5bd
https://doi.org/10.21125/edulearn.2022.0916
https://doi.org/10.21125/edulearn.2022.0916
Autor:
Ghaith Al-Tameemi, James Xue, Suraj Ajit, Triantafyllos Kanakis, Israa Hadi, Thar Baker, Mohammed Al-Khafajiy, Rawaa Al-Jumeily
Publikováno v:
2021 14th International Conference on Developments in eSystems Engineering (DeSE)
Education providers are increasingly using artificial techniques for predicting students' performance based on their interactions in Virtual Learning Environments (VLE). In this paper, the Open University Learning Analytics Dataset (OULAD), which con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16a4c702aaa0c09b9c8396e5253ad029
http://nectar.northampton.ac.uk/16227/1/Al_Tameemi_etal_DeSE_2021_A_Deep_Neural_Network_Based_Prediction_Model_for_Students_Academic_Performance.pdf
http://nectar.northampton.ac.uk/16227/1/Al_Tameemi_etal_DeSE_2021_A_Deep_Neural_Network_Based_Prediction_Model_for_Students_Academic_Performance.pdf
Autor:
Ali Salam Al-jaberi, Ali Mohsin Al-juboori, Rawaa Al-Jumeily, Mohammed Al-Khafajiy, Thar Baker
Publikováno v:
2021 14th International Conference on Developments in eSystems Engineering (DeSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7a66b52237c75880e14524f9cd443b
https://doi.org/10.1109/dese54285.2021.9719476
https://doi.org/10.1109/dese54285.2021.9719476
Autor:
Mohammed Al-Khafajiy, Rawaa Al-Jumeily, Thar Baker, Shatha Ghareeb, Jamila Mustafina, Hoshang Kolivand
Publikováno v:
2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA).
In 21st-century learning academic, where collaboration, digital literacy, critical thinking, and problem-solving are considered the core competencies to be enhanced and developed further.In a multinational country, such as the United Arab Emirates (U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17d1542e0e67c90fad0ef2000ac49291
https://doi.org/10.1109/caida51941.2021.9425061
https://doi.org/10.1109/caida51941.2021.9425061
Autor:
Rawaa Al-Jumeily, J. Mutafina, Ahmed J. Aljaaf, Abir Hussain, Conor Mallucci, H. Alsmadi, Thar Baker
Publikováno v:
AICCSA
Intracranial pressure (ICP) could be an indicator of a neurological disorder known as hydrocephalus, which is currently managed by shunting procedure. This paper investigates the current advances of shunting valves and provides an overview of ICP rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91889ccd45c15910aafe5795fda8af16
https://doi.org/10.1109/aiccsa47632.2019.9035356
https://doi.org/10.1109/aiccsa47632.2019.9035356
Autor:
Shatha Ghareeb, Aseel Hussien, Rawaa Al-Jumeily, Thar Baker, Rusul Almurshedi, Mohammed Al-Khafajiy, Yaser Jararweh
Publikováno v:
DeSE
With the emerge of Internet of Things, billions of devices and humans are connected directly or indirectly to the internet. This significant growth in the number of connected devices rises the needs for a new development for the current network parad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::238103f1a56ffcf7276a4f1492bff6d2
https://doi.org/10.1109/dese.2019.00175
https://doi.org/10.1109/dese.2019.00175