Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohammad Alsmirat"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Over recent years, researchers and practitioners have encountered massive and continuous improvements in the computational resources available for their use. This allowed the use of resource-hungry Machine learning (ML) algorithms to become
Externí odkaz:
https://doaj.org/article/40261d3c75284847870695a2104dd88f
Publikováno v:
IEEE Access, Vol 10, Pp 32315-32323 (2022)
Computer-aided diagnosis (CAD) systems have been the focus of many researchers in both computer and medical fields. In this paper, we build two convolutional neural network (CNN) based CAD systems for diagnosing lumbar disk herniation from Magnetic R
Externí odkaz:
https://doaj.org/article/82bc9c8836f9411f82dd0e0f403911ba
Publikováno v:
Multimodal Technologies and Interaction, Vol 6, Iss 4, p 27 (2022)
The data management process is characterised by a set of tasks where data quality management (DQM) is one of the core components. Data quality, however, is a multidimensional concept, where the nature of the data quality issues is very diverse. One o
Externí odkaz:
https://doaj.org/article/9893239ec9f84a559c01986d337e03b6
Video coding deep learning-based modeling for long life video streaming over next network generation
Publikováno v:
Cluster Computing. 26:1159-1167
Availability is one of the primary goals of smart networks, especially, if the network is under heavy video streaming traffic. In this paper, we propose a deep learning based methodology to enhance availability of video streaming systems by developin
Autor:
Hafed Zarzour, Faiz Maazouzi, Mohammad Al-Zinati, Amjad Nusayr, Mohammad Alsmirat, Mahmoud Al-Ayyoub, Yaser Jararweh
Publikováno v:
2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA).
Publikováno v:
2022 13th International Conference on Information and Communication Systems (ICICS).
Advancement of the prediction models used in a variety of fields is a result of the contribution of machine learning approaches. Utilizing such modeling in feature engineering is exceptionally imperative and required. In this research, we show how to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::deb6ba0c6ea27d24e9314ed292e99032
https://zenodo.org/record/4662414
https://zenodo.org/record/4662414