Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Mohammad Alshraideh"'
Autor:
Yazn Alshamaila, Hamad Alsawalqah, Maria Habib, Nailah Al-Madi, Hossam Faris, Mohammad Alshraideh, Ibrahim Aljarah, Raed Masadeh
Publikováno v:
International Journal of Data and Network Science, Vol 8, Iss 2, Pp 1325-1340 (2024)
Education is a fundamental sector in all countries, where in some countries students com-pete to get an educational grant due to its high cost. The incorporation of artificial intelli-gence in education holds great promise for the advancement of educ
Externí odkaz:
https://doaj.org/article/7265d905d5dd4690a5df1524765c1bfb
Publikováno v:
Stroitel’stvo: Nauka i Obrazovanie, Vol 13, Iss 4, Pp 128-141 (2023)
Introduction. At all stages of the life cycle of nuclear power plants (“Deployment”, “Design”, “Construction”, “Operation” and “Decommissioning”), there are a large number of different risks affecting the safety, schedule and cost
Externí odkaz:
https://doaj.org/article/d3d1b0e25c884206820655c1e70b8242
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2024 (2024)
Software fault prediction (SFP) is a crucial aspect of software engineering, aiding in the early identification of potential defects. This proactive approach significantly contributes to enhancing software quality and reliability. However, a common c
Externí odkaz:
https://doaj.org/article/ac9d00f04bb446659cf71925720cee80
Autor:
Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2024 (2024)
Efforts have been made to address the adverse impact of heart disease on society by improving its treatment and diagnosis. This study uses the Jordan University Hospital (JUH) Heart Dataset to develop and evaluate machine-learning models for predicti
Externí odkaz:
https://doaj.org/article/0d6ccc0495f041919e1473ce8c77f953
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2024 (2024)
In the latter part of the 21st century, the prevalence of online games has significantly increased, encompassing titles connected to the Internet via smart devices, enabling multiplayer interaction. Recent media attention has shed light on the advers
Externí odkaz:
https://doaj.org/article/23d2267aae0d4538a29e635373966d7e
Publikováno v:
AI, Vol 3, Iss 4, Pp 871-889 (2022)
Diagnosing gynecological diseases is a significant difficulty for the medical sector. Numerous patients visit gynecological clinics for pregnancies as well as for other illnesses, such as polycystic ovarian syndrome, ovarian cysts, endometritis, meno
Externí odkaz:
https://doaj.org/article/91c8d0273baf494c99c2fabffbb50123
Autor:
Bilal Abu-Salih, Mohammad Alhabashneh, Dengya Zhu, Albara Awajan, Yazan Alshamaileh, Bashar Al-Shboul, Mohammad Alshraideh
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e15926- (2023)
The development of emotion detection technology has emerged as an efficient possibility in the corporate sector due to the nearly limitless uses of this new discipline, particularly with the unceasing propagation of social data. In recent years, the
Externí odkaz:
https://doaj.org/article/80707c233dd841fda0a28235beddc2d2
Publikováno v:
Applied Computing and Informatics, Vol 15, Iss 1, Pp 12-18 (2019)
This paper presents a clinical decision support system using Artificial Neural Networks (ANN). The system uses Multilayer Perceptron (MLP) feed forward neural network to predict the risk of developing Venous Thromboembolism (VTE) in hospitalized pati
Externí odkaz:
https://doaj.org/article/50f8dac3e90346d0badf9b42c0957905
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 5228 (2021)
Deep learning has emerged as a new area of machine learning research. It is an approach that can learn features and hierarchical representation purely from data and has been successfully applied to several fields such as images, sounds, text and moti
Externí odkaz:
https://doaj.org/article/70139254f9cc40a7a15e7e0ac6f07e31
Publikováno v:
Cancer Informatics, Vol 2011, Iss 10, Pp 1-11 (2011)
Externí odkaz:
https://doaj.org/article/42d1490040074cf7a2043e173602e816