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of 122
pro vyhledávání: '"AlGosaibi A"'
Autor:
Nazzal, Mahmoud, Aljaafari, Nura, Sawalmeh, Ahmed, Khreishah, Abdallah, Anan, Muhammad, Algosaibi, Abdulelah, Alnaeem, Mohammed, Aldalbahi, Adel, Alhumam, Abdulaziz, Vizcarra, Conrado P., Alhamed, Shadan
Federated learning enables multiple clients to collaboratively contribute to the learning of a global model orchestrated by a central server. This learning scheme promotes clients' data privacy and requires reduced communication overheads. In an appl
Externí odkaz:
http://arxiv.org/abs/2310.06855
Autor:
Fatima Alderazi, Abdulelah Algosaibi, Mohammed Alabdullatif, Hafiz Farooq Ahmad, Ali Mustafa Qamar, Abdulaziz Albarrak
Publikováno v:
PeerJ Computer Science, Vol 10, p e2081 (2024)
Social media platforms have become essential for disseminating news and expressing individual sentiments on various life topics. Arabic, widely used in the Middle East, presents unique challenges for sentiment analysis due to its complexity and multi
Externí odkaz:
https://doaj.org/article/ac04de212ac94bb19f007ae1670213d6
Autor:
Alsmadi, Izzat, Ahmad, Kashif, Nazzal, Mahmoud, Alam, Firoj, Al-Fuqaha, Ala, Khreishah, Abdallah, Algosaibi, Abdulelah
The growing use of social media has led to the development of several Machine Learning (ML) and Natural Language Processing(NLP) tools to process the unprecedented amount of social media content to make actionable decisions. However, these MLand NLP
Externí odkaz:
http://arxiv.org/abs/2110.13980
Autor:
Aqilah M. Alsaleh, Eid Albalawi, Abdulelah Algosaibi, Salman S. Albakheet, Surbhi Bhatia Khan
Publikováno v:
Diagnostics, Vol 14, Iss 12, p 1213 (2024)
Deep learning has attained state-of-the-art results in general image segmentation problems; however, it requires a substantial number of annotated images to achieve the desired outcomes. In the medical field, the availability of annotated images is o
Externí odkaz:
https://doaj.org/article/c472b99613b1439e8666644805b9cf81
Autor:
Liu, Guanxiong, Khalil, Issa, Khreishah, Abdallah, Algosaibi, Abdulelah, Aldalbahi, Adel, Alaneem, Mohammed, Alhumam, Abdulaziz, Anan, Mohammed
Machine learning models, especially neural network (NN) classifiers, have acceptable performance and accuracy that leads to their wide adoption in different aspects of our daily lives. The underlying assumption is that these models are generated and
Externí odkaz:
http://arxiv.org/abs/2007.05817
Autor:
Yong, Shin Jie, Halim, Alice, Liu, Shiliang, Halim, Michael, Alshehri, Ahmad A., Alshahrani, Mohammed A., Alshahrani, Mohammed M., Alfaraj, Amal H., Alburaiky, Lamees M., Khamis, Faryal, Muzaheed, AlShehail, Bashayer M., Alfaresi, Mubarak, Al Azmi, Reyouf, Albayat, Hawra, Al Kaabi, Nawal A., Alhajri, Mashael, Al Amri, Kawthar Amur Salim, Alsalman, Jameela, Algosaibi, Sarah A., Al Fares, Mona A., Almanaa, Taghreed N., Almutawif, Yahya A., Mohapatra, Ranjan K., Rabaan, Ali A.
Publikováno v:
In Autonomic Neuroscience: Basic and Clinical December 2023 250
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Izzat Alsmadi, Nura Aljaafari, Mahmoud Nazzal, Shadan Alhamed, Ahmad H. Sawalmeh, Conrado P. Vizcarra, Abdallah Khreishah, Muhammad Anan, Abdulelah Algosaibi, Mohammed Abdulaziz Al-Naeem, Adel Aldalbahi, Abdulaziz Al-Humam
Publikováno v:
IEEE Access, Vol 10, Pp 17043-17077 (2022)
Machine learning algorithms represent the intelligence that controls many information systems and applications around us. As such, they are targeted by attackers to impact their decisions. Text created by machine learning algorithms has many types of
Externí odkaz:
https://doaj.org/article/60d9e5aa17c44df3b5a96ff3de5082df