Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Thaer Thaher"'
Publikováno v:
Journal of Universal Computer Science, Vol 29, Iss 7, Pp 759-804 (2023)
The Coronavirus Disease 2019 (COVID-19) is widespread throughout the world and poses a serious threat to public health and safety. A COVID-19 infection can be recognized using computed tomography (CT) scans. To enhance the categorization, some image
Externí odkaz:
https://doaj.org/article/de428989dc7f49f6865ab7c495731dd8
Publikováno v:
Journal of Universal Computer Science, Vol 28, Iss 5, Pp 499-539 (2022)
Feature selection (FS) is a pre-processing step that aims to eliminate the redundant and less-informative features to enhance the performance of data mining techniques. It is also considered as one of the key success factors for classification proble
Externí odkaz:
https://doaj.org/article/a8a8e192dfc945a9a5787ebfb9c75ba2
Autor:
Alaa Sheta, Thaer Thaher, Salim R. Surani, Hamza Turabieh, Malik Braik, Jingwei Too, Noor Abu-El-Rub, Majdi Mafarjah, Hamouda Chantar, Shyam Subramanian
Publikováno v:
Diagnostics, Vol 13, Iss 14, p 2417 (2023)
Obstructive sleep apnea (OSA) is a prevalent sleep disorder that affects approximately 3–7% of males and 2–5% of females. In the United States alone, 50–70 million adults suffer from various sleep disorders. OSA is characterized by recurrent ep
Externí odkaz:
https://doaj.org/article/2c30d3ecca194c0c8d7a47c4f487c888
Autor:
Thaer Thaher, Majdi Mafarja, Hamza Turabieh, Pedro A. Castillo, Hossam Faris, Ibrahim Aljarah
Publikováno v:
IEEE Access, Vol 9, Pp 41082-41103 (2021)
Machine learning techniques heavily rely on available training data in a data set. Certain features in the data can interfere with the learning process, so it is required to remove irrelevant and redundant features to build a robust training model. A
Externí odkaz:
https://doaj.org/article/cc9b14ba4e7a4e1a88553e98bf99a6e5
Publikováno v:
IEEE Access, Vol 9, Pp 14239-14258 (2021)
Software fault prediction (SFP) is a challenging process that any successful software should go through it to make sure that all software components are free of faults. In general, soft computing and machine learning methods are useful in tackling th
Externí odkaz:
https://doaj.org/article/2a98ec15eb7e49ee809cba47e643ff0a
Publikováno v:
IEEE Access, Vol 8, Pp 8041-8055 (2020)
Software fault prediction (SFP) is a complex problem that meets developers in the software development life cycle. Collecting data from real software projects, either while the development life cycle or after lunch the product, is not a simple task,
Externí odkaz:
https://doaj.org/article/ddcf58c401a24ce6959080e4aeb564b0
Autor:
Thaer Thaher, Atef Zaguia, Sana Al Azwari, Majdi Mafarja, Hamouda Chantar, Anmar Abuhamdah, Hamza Turabieh, Seyedali Mirjalili, Alaa Sheta
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10237 (2021)
The students’ performance prediction (SPP) problem is a challenging problem that managers face at any institution. Collecting educational quantitative and qualitative data from many resources such as exam centers, virtual courses, e-learning educat
Externí odkaz:
https://doaj.org/article/8f1120013f07457589ffae2729e3c4c4
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6516 (2021)
Data classification is a challenging problem. Data classification is very sensitive to the noise and high dimensionality of the data. Being able to reduce the model complexity can help to improve the accuracy of the classification model performance.
Externí odkaz:
https://doaj.org/article/c86897b7aac1406eb681d903d865a538
Autor:
Alaa Sheta, Hamza Turabieh, Thaer Thaher, Jingwei Too, Majdi Mafarja, Md Shafaeat Hossain, Salim R. Surani
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6622 (2021)
Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the shortage of oxygen for the human body, which causes several symptoms (i.e., low concentration, daytime sleepiness, and irritability). Discovering the existence
Externí odkaz:
https://doaj.org/article/f5a1e1b2906743098f8f66d0ae4c0a8f
Publikováno v:
Symmetry, Vol 13, Iss 4, p 556 (2021)
Fake or false information on social media platforms is a significant challenge that leads to deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive information about a person, organization, or service. Twitter is one o
Externí odkaz:
https://doaj.org/article/d0d20b2c28194d19b692ab46b3276a32