Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Areej Alhothali"'
Publikováno v:
IEEE Access, Vol 12, Pp 121480-121494 (2024)
Predictive learning outcomes’ models for online students can provide useful information to instructors to estimate students’ final performance in the early stages of a course. Anticipating student performance can improve learning efficiency. Exis
Externí odkaz:
https://doaj.org/article/570a908bffe44a7aa6ce307fbeb37d06
Publikováno v:
Applied Artificial Intelligence, Vol 37, Iss 1 (2023)
There is an increased demand for detecting online hate speech, especially with the recent changing policies of hate content and free-of-speech right of online social media platforms. Detecting hate speech will reduce its negative impact on social med
Externí odkaz:
https://doaj.org/article/8d4bda1e13c94b2da7d77d2ef2e636cd
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 12511-12523 (2022)
With the increased popularity of social media platforms, people are increasingly depending on them for news and updates. Even official media channels post news on social media platforms such as Twitter and Facebook. However, with the vast amount of u
Externí odkaz:
https://doaj.org/article/a1ea22e95a3647ba89a8ec0f7936a7a9
Autor:
Fatemah O. Kamel, Rania M. Magadmi, Sulafa T. Alqutub, Maha Badawi, Fatin Al-Sayes, Mazen Badawi, Tariq A. Madni, Areej Alhothali, Ehab A. Abozinadah, Soheir Adam
Publikováno v:
Journal of Infection and Public Health, Vol 14, Iss 6, Pp 709-716 (2021)
Background: Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2), is associated with significant morbidity and mortality. The clinical features of COVID-19 were mentioned in previous studies. Howev
Externí odkaz:
https://doaj.org/article/e1ee40ca24a047d5a71d64ce15083d05
Publikováno v:
PeerJ Computer Science, Vol 8, p e952 (2022)
Open-domain question answering (OpenQA) is one of the most challenging yet widely investigated problems in natural language processing. It aims at building a system that can answer any given question from large-scale unstructured text or structured k
Externí odkaz:
https://doaj.org/article/04eca391f62f44c8b78319579232a9db
Autor:
Nusaybah Alghanmi, Reem Alotaibi, Sultanah Alshammari, Areej Alhothali, Omaimah Bamasag, Kamil Faisal
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Public health emergencies such as disease outbreaks and bioterrorism attacks require immediate response to ensure the safety and well-being of the affected community and prevent the further spread of infection. The standard method to increase the eff
Externí odkaz:
https://doaj.org/article/6e72c16581a04a8e87b49b1bd672e1b5
Autor:
Areej Alhothali, Hifsa Khurshid, Muhammad Raza Ul Mustafa, Kawthar Mostafa Moria, Umer Rashid, Omaimah Omar Bamasag
Publikováno v:
Adsorption Science & Technology, Vol 2022 (2022)
This study was aimed at evaluating the artificial neural network (ANN), genetic algorithm (GA), adaptive neurofuzzy interference (ANFIS), and the response surface methodology (RSM) approaches for modeling and optimizing the simultaneous adsorptive re
Externí odkaz:
https://doaj.org/article/6d4ad59692c84ce7b7658aa5ff6edc6c
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5599 (2022)
We are currently experiencing a revolution in data production and artificial intelligence (AI) applications. Data are produced much faster than they can be consumed. Thus, there is an urgent need to develop AI algorithms for all aspects of modern lif
Externí odkaz:
https://doaj.org/article/da93c624ace241638f81cd0411025b33
Publikováno v:
Neural Computing and Applications. 35:4667-4682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7af3f0c51095fe29cdc02f36623fe96
https://doi.org/10.1007/s00521-022-07943-6
https://doi.org/10.1007/s00521-022-07943-6
Publikováno v:
Multimedia Tools and Applications. 82:15673-15694
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9f21349fb795d4d12ee544f6d8850e2
https://doi.org/10.1007/s11042-022-13967-w
https://doi.org/10.1007/s11042-022-13967-w