Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Jingwei Too"'
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:
Jingwei Too, Seyedali Mirjalili
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 3, Pp 247-263 (2021)
Finding relevant information from biological data is a critical issue for the study of disease diagnosis, especially when an enormous number of biological features are involved. Intentionally, the feature selection can be an imperative preprocessing
Externí odkaz:
https://doaj.org/article/47ff7c16f348476083d3231044e81670
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:
Frontiers in Genetics, Vol 12 (2022)
OMIC datasets have high dimensions, and the connection among OMIC features is very complicated. It is difficult to establish linkages among these features and certain biological traits of significance. The proposed ensemble swarm intelligence-based a
Externí odkaz:
https://doaj.org/article/85830831efbc4c599221d2f2328b8c4e
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:
Axioms, Vol 8, Iss 3, p 79 (2019)
To date, the usage of electromyography (EMG) signals in myoelectric prosthetics allows patients to recover functional rehabilitation of their upper limbs. However, the increment in the number of EMG features has been shown to have a great impact on p
Externí odkaz:
https://doaj.org/article/2839126553c74d52a026b94ff0c94690
Publikováno v:
Computation, Vol 7, Iss 2, p 31 (2019)
Feature selection is known as an NP-hard combinatorial problem in which the possible feature subsets increase exponentially with the number of features. Due to the increment of the feature size, the exhaustive search has become impractical. In additi
Externí odkaz:
https://doaj.org/article/d0c99cce8fc740a09196db3928f88efb
Publikováno v:
Informatics, Vol 6, Iss 2, p 21 (2019)
Feature selection is a task of choosing the best combination of potential features that best describes the target concept during a classification process. However, selecting such relevant features becomes a difficult matter when large number of featu
Externí odkaz:
https://doaj.org/article/a907ca7fd2ea4c1980cced11311631b5
Publikováno v:
Computation, Vol 7, Iss 1, p 12 (2019)
Due to the increment in hand motion types, electromyography (EMG) features are increasingly required for accurate EMG signals classification. However, increasing in the number of EMG features not only degrades classification performance, but also inc
Externí odkaz:
https://doaj.org/article/18ff23b92c1c4c41bc42b35d8e6402c1
Publikováno v:
Machines, Vol 6, Iss 4, p 65 (2018)
Electromyography (EMG) has been widely used in rehabilitation and myoelectric prosthetic applications. However, a recent increment in the number of EMG features has led to a high dimensional feature vector. This in turn will degrade the classificatio
Externí odkaz:
https://doaj.org/article/f97fb17ffbbd4f41bcc2287ac6fe20d9