Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Abdel-Karim Al Tamimi"'
Publikováno v:
Future Internet, Vol 2, Iss 4, Pp 446-468 (2010)
Deficit Round Robin (DRR) is a fair packet-based scheduling discipline commonly used in wired networks where link capacities do not change with time. However, in wireless networks, especially wireless broadband networks, i.e., IEEE 802.16e Mobile WiM
Externí odkaz:
https://doaj.org/article/023d9b03aee34886bdad501f97965c2e
Publikováno v:
JMIR Formative Research, Vol 8, p e51571 (2024)
BackgroundConversational agents (CAs) are a promising solution to support people in improving physical activity (PA) behaviors. However, there is a lack of CAs targeted at adolescents that aim to provide support to overcome barriers to PA. This study
Externí odkaz:
https://doaj.org/article/39d5a3dcfaca4ea8995dcfb2739929b5
Autor:
Maher Salem, Abdel-Karim Al-Tamimi
Publikováno v:
IEEE Access, Vol 10, Pp 131229-131245 (2022)
A network intrusion detection system (IDS) is commonly recognized as an effective solution for identifying threats and malicious attacks. Due to the rapid emergence of threats and new attack vectors, novel and adaptive approaches must be considered t
Externí odkaz:
https://doaj.org/article/f7358b9009cc4e00b411689303ad93a4
Autor:
Mohammad A. Al-Jarrah, Ahmad Al-Jarrah, Amin Jarrah, Mohammad AlShurbaji, Sharaf K. Magableh, Abdel-Karim Al-Tamimi, Nisreen Bzoor, Mamoun O. Al-Shamali
Publikováno v:
Revue d'Intelligence Artificielle. 36:815-823
The Speaker identification process is not a new trend; however, for the Arabic Holy Quran recitation, there are still quite improvements that can make this process more accurate and reliable. This paper collected the input data from 14 native Arabic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79ee4f3574de7a20cfc8f330215f8068
https://doi.org/10.18280/ria.360601
https://doi.org/10.18280/ria.360601
Despite recent developments in offline signature recognition systems, there is however limited focus on the recognition problem facet of using an inadequate sample size for training that could deliver reliable and easy to use authentication systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c5ea3eba9e0afc683c656a509b33c2d
https://zenodo.org/record/5152516
https://zenodo.org/record/5152516
Publikováno v:
2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE).
Active Learning explores the use of minimal human intervention to improve the efficiency of supervised machine learning algorithms during the learning/training phase. Active learning improves machine learning algorithms performance, especially for am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4dfff978beef53a97b63909f579ab88
https://doi.org/10.1109/iccike51210.2021.9410758
https://doi.org/10.1109/iccike51210.2021.9410758
Publikováno v:
2020 Seventh International Conference on Information Technology Trends (ITT).
In the recent years, utilizing machine learning in musicrelated problems has attracted researchers in both industry and academia. One of the recent targeted challenges is classifying music segments based on their genre, which is done according to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27e246af2986bf0694564909edcc54eb
https://doi.org/10.1109/itt51279.2020.9320778
https://doi.org/10.1109/itt51279.2020.9320778
Publikováno v:
2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME).
Ultrasound imaging is widely used to track needle insertion during biopsy surgical procedures. However, the task of tracking the needle tip in ultrasound images is a challenging task that depends on the experience of the physician. To address this li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d1aaf51099cdde10f2f34a6e8de658b
https://doi.org/10.1109/mecbme47393.2020.9265166
https://doi.org/10.1109/mecbme47393.2020.9265166
Publikováno v:
Advances in Multimedia, Vol 2012 (2012)
High-definition video streams' unique statistical characteristics and their high bandwidth requirements are considered to be a challenge in both network scheduling and resource allocation fields. In this paper, we introduce an innovative way to model
Externí odkaz:
https://doaj.org/article/a5f619db341a4068aab60d519c275502
Publikováno v:
2019 Sixth HCT Information Technology Trends (ITT).
Churn prediction represents one of the most important components of Customer Relationship Management (CRM). In the purpose of retaining customers and maintaining their satisfaction, researchers of many fields including business intelligence, marketin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6883b98734ce65f12b96fe418b363182
https://doi.org/10.1109/itt48889.2019.9075077
https://doi.org/10.1109/itt48889.2019.9075077