Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yousef H. Alfaifi"'
Autor:
Yousef H. Alfaifi
Publikováno v:
Information, Vol 15, Iss 10, p 660 (2024)
In recent years, there has been growing interest in recommendation systems, which is matched by their widespread adoption across various sectors. This can be attributed to their effectiveness in reducing an avalanche of data into individualized infor
Externí odkaz:
https://doaj.org/article/8957541e590d4202a22ad4c3b2192e54
Autor:
Hazem M. El-Hageen, Ahmed Nabih Zaki Rashed, Hani Albalawi, Mohammed A. Alhartomi, Yousef H. Alfaifi, Madhi Tarikham Alsubaie, Mohamed A. Mead
Publikováno v:
Energies, Vol 16, Iss 19, p 7001 (2023)
This is a comprehensive research endeavor focused on enhancing the efficiency of the proposed solar cell design. The integration of the simulation techniques, judicious material selection, and meticulous performance metrics showcase a methodical appr
Externí odkaz:
https://doaj.org/article/93c9d04b52b349f88d4652eb30e40ff8
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8936 (2023)
The world we live in today is becoming increasingly less tethered, with many applications depending on wireless signals to ensure safety and security. Proactive security measures can help prevent the loss of property due to actions such as larceny/th
Externí odkaz:
https://doaj.org/article/b4bbc7fe5b8a46d4be3c3c95e7ced02e
Autor:
Hazem M. El-Hageen, Vishal Sorathiya, Sunil Lavadiya, Nandini Mehata, Vaibhav Katariya, Shobhit K. Patel, Hani Albalawi, Aadel M. Alatwi, Mohammed A. Alhartomi, Mohamed A. Mead, Yousef H. Alfaifi, Ahmed Nabih Zaki Rashed
Publikováno v:
Materials Chemistry and Physics. 301:127680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::879d0fa0bd2ab541da45e67c64ab20d8
https://doi.org/10.1016/j.matchemphys.2023.127680
https://doi.org/10.1016/j.matchemphys.2023.127680
Publikováno v:
Electronics; Volume 12; Issue 6; Pages: 1394
Measuring ontology matching is a critical issue in knowledge engineering and supports knowledge sharing and knowledge evolution. Recently, linguistic scientists have defined semantic relatedness as being more significant than semantic similarities in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44c59df1f6903987c9eb1a0e3e50adf9
https://doi.org/10.3390/electronics12061394
https://doi.org/10.3390/electronics12061394