Zobrazeno 1 - 4
of 4
pro vyhledávání: '"SALEH ALABDULWAHAB"'
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10951 (2023)
Networks within the Internet of Things (IoT) have some of the most targeted devices due to their lightweight design and the sensitive data exchanged through smart city networks. One way to protect a system from an attack is to use machine learning (M
Externí odkaz:
https://doaj.org/article/a69a28b418e648ce8c1735712d74e34e
Autor:
Saleh Alabdulwahab, BongKyo Moon
Publikováno v:
Symmetry, Vol 12, Iss 9, p 1424 (2020)
The detection accuracy and model building time of machine learning (ML) classifiers are vital aspects for an intrusion detection system (IDS) to predict attacks in real life. Recently, researchers have introduced feature selection methods to increase
Externí odkaz:
https://doaj.org/article/15d9da6d94274c45986c2380ffe107dd
Autor:
Khalid Almramhi, Mohammed Aljehani, Mohammed Bamuflih, Saad Alghamdi, Sultan Banser, Abdullah Almousa, SALEH ALABDULWAHAB, Khalid Al-Ebrahim
Publikováno v:
The heart surgery forum. 25(4)
Background: Unplanned 30-day readmission post-cardiac surgery imposes higher risks for complications, increased costs, and unfavorable events for the care provider and patient. This study was to determine the unplanned readmission rate, determinants,
Autor:
Bongkyo Moon, Saleh Alabdulwahab
Publikováno v:
Symmetry, Vol 12, Iss 1424, p 1424 (2020)
Symmetry; Volume 12; Issue 9; Pages: 1424
Symmetry; Volume 12; Issue 9; Pages: 1424
The detection accuracy and model building time of machine learning (ML) classifiers are vital aspects for an intrusion detection system (IDS) to predict attacks in real life. Recently, researchers have introduced feature selection methods to increase