Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Abdulelah A. Algosaibi"'
Publikováno v:
Computers, Materials & Continua. 66:3139-3149
Publikováno v:
2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).
Publikováno v:
2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT).
Autor:
Abdallah Khreishah, Abdulelah A. Algosaibi, Issa Khalil, Mohammed Al-Naeem, Adel Aldalbahi, Muhammad Anan, Guanxiong Liu, Abdulaziz Alhumam
Publikováno v:
IEEE Access, Vol 8, Pp 197086-197096 (2020)
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35d1fc9ce0b50ecf7a1b09a7a5588832
Publikováno v:
International Journal of Advanced Computer Science and Applications. 11
The Kingdom of Saudi Arabia is enhancing the services and applications in government organizations through the number of systems that generate a massive amount of data through Big Data technology. Recently, the Global Artificial Intelligent Summit 20
Publikováno v:
International Journal of Artificial Intelligence & Applications. 8:11-28
Autor:
Abdulelah A. Algosaibi, Saleh Albahli
Publikováno v:
Proceedings of the 2019 2nd International Conference on Intelligent Science and Technology.
The web documents are not understandable by computers. And, web documents cross the web hold nourmance amount of information. To gain the maximum precision of reaching precise results, understanding these web documents is vital task. Moreover, it has
Publikováno v:
PeerJ Computer Science
PeerJ Computer Science, Vol 7, p e495 (2021)
PeerJ Computer Science, Vol 7, p e495 (2021)
Artificial intelligence (AI) has played a significant role in image analysis and feature extraction, applied to detect and diagnose a wide range of chest-related diseases. Although several researchers have used current state-of-the-art approaches and
Publikováno v:
Parallel Processing Letters. 30:2050007
In recent years, data are generated rapidly that advanced the evolving of the linked data. Modern data are globally distributed over the semantically linked graphs. The nature of the distributed data over the semantic graph raised new demands on furt
Autor:
Abdulelah A. Algosaibi
The Web, as communication channel, has had variety of development that allows information to be published and accessed in a scaleable approach. With the revolution of the information, some research studies have conducted to boost the present situatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cfa22dafd454d29af3d8da1da1c2c69