Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Naseebah Maqtary"'
Autor:
Abdullah Al-Hashedi, Belal Al-Fuhaidi, Abdulqader M. Mohsen, Yousef Ali, Hasan Ali Gamal Al-Kaf, Wedad Al-Sorori, Naseebah Maqtary
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2022 (2022)
Sentiment analysis has recently become increasingly important with a massive increase in online content. It is associated with the analysis of textual data generated by social media that can be easily accessed, obtained, and analyzed. With the emerge
Externí odkaz:
https://doaj.org/article/3e555559e57c469a9e2034b004704ae2
Autor:
Abdulqader M. Mohsen, Abdullah Al-Hashedi, Asma M. Altabeeb, Yousef Ali, Belal Al-Fuhaidi, Hasan Ali Gamal Al-kaf, Wedad Al-Sorori, Naseebah Maqtary
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Autor:
Asma M. Altabeeb, Abdulqader M. Mohsen, Yousef Ali, Belal Al-Fuhaidi, Wedad Al-Sorori, Naseebah Maqtary
Publikováno v:
2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA).
The COVID-19 pandemic has spread across the world and has become an international public health emergency. The outbreak of COVID-19 has focused attention on the use of quarantine and social distancing as the primary defense strategies against communi
Publikováno v:
Technology, Knowledge and Learning. 24:169-190
Group formation is an essential process for group development lifecycle. It has been a growing concern to many researchers to be applied automatically in collaborative learning contexts. Forming a group is an atomic process that is affected by variou
Autor:
Al-Hashedi, Abdullah, Al-Fuhaidi, Belal, Mohsen, Abdulqader M., Ali, Yousef, Gamal Al-Kaf, Hasan Ali, Al-Sorori, Wedad, Maqtary, Naseebah
Publikováno v:
Applied Computational Intelligence & Soft Computing; 1/13/2022, p1-10, 10p
Publikováno v:
Technology, Knowledge & Learning; Jun2019, Vol. 24 Issue 2, p169-190, 22p