Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Alaa Eleyan"'
Publikováno v:
Computers, Vol 13, Iss 11, p 294 (2024)
Breast cancer, which has the highest mortality and morbidity rates among diseases affecting women, poses a significant threat to their lives and health. Early diagnosis is crucial for effective treatment. Recent advancements in artificial intelligenc
Externí odkaz:
https://doaj.org/article/5fbc3e41270d424ea208883fd197b867
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9936 (2024)
This paper introduces a novel deep learning model for ECG signal classification using feature fusion. The proposed methodology transforms the ECG time series into a spectrogram image using a short-time Fourier transform (STFT). This spectrogram is fu
Externí odkaz:
https://doaj.org/article/64adb142d50e40898c8941f11141ff09
Publikováno v:
Applied System Innovation, Vol 7, Iss 5, p 77 (2024)
Heart disease, a global killer with many variations like arrhythmia and heart failure, remains a major health concern. Traditional risk factors include age, cholesterol, diabetes, and blood pressure. Fortunately, artificial intelligence (AI) offers a
Externí odkaz:
https://doaj.org/article/dc10a6969cfd47579c6df0315e53a2c6
Autor:
Alaa Eleyan
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 9, Pp 101729- (2023)
The use of data fusion can be of a enormous help in boosting classification performance. Feature fusion is a data fusion technique that is being considered in this study. The effect of fusing different feature descriptors extracted by using histogram
Externí odkaz:
https://doaj.org/article/2dc299b5c6614f9b8c2eba4d081f9ae8
Autor:
Alaa Eleyan, Ebrahim Alboghbaish
Publikováno v:
Computers, Vol 13, Iss 2, p 55 (2024)
Cardiovascular diseases (CVDs) like arrhythmia and heart failure remain the world’s leading cause of death. These conditions can be triggered by high blood pressure, diabetes, and simply the passage of time. The early detection of these heart issue
Externí odkaz:
https://doaj.org/article/2e25ca92e91e4cdeb1b7a5945b845d61
Autor:
Alaa Eleyan, Abubakar Ashir
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 23, Iss 5, Pp 527-531 (2017)
Bu makalede, geliştirilmiş yüz ifadesi tanıma için yeni bir yaklaşım önerilmiştir. Bu yeni yaklaşım sıkıştırma algılama teorisinden ve yüz ifadesi problemine çoklu çözünürlük yaklaşımından esinlenmektedir. Başlangıçta, he
Externí odkaz:
https://doaj.org/article/5f9b7baa7ebc46809fc55aae93960244
Autor:
Alaa Eleyan
Publikováno v:
Journal of Art and Design. 3:1-11
Autor:
Alaa Eleyan
Publikováno v:
Multimedia Tools and Applications.
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 10:375-381
Publikováno v:
Neural Computing and Applications. 32:6295-6309
In this paper, a new approach for facial expression recognition has been proposed. The approach has imbedded a new feature extraction technique, new multiclass classification approach and a new kernel parameter optimization for support vector machine