Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Asmaa Hamad"'
Autor:
Adel S. El-Fishawy, Taha E. Taha, Turky N. Alotaiby, Saleh A. Alshebeili, Ashraf A. M. Khalaf, Saly Abd-Elateif El-Gindy, Sami M. El-Dolil, Walid El-Shafai, Asmaa Hamad, Fathi E. Abd El-Samie
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:9193-9208
In this paper, we present an approach for the anticipation of electroencephalography (EEG) seizures using different families of wavelet transform. Different signal attributes are investigated to anticipate the seizure onset based on the wavelet trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6da204911d92b87a63406bd769ad5ca
https://doi.org/10.1007/s12652-020-02624-5
https://doi.org/10.1007/s12652-020-02624-5
Autor:
Mahmoud Elreefy, Walid El-Shafai, Adel S. El-Fishawy, Nagy W. Messiha, Waleed Al-Nuaimy, Osama Zahran, Zeinab M. Elsherbeny, Ahmed Sedik, Mohamed Elwakeil, Turky N. Alotaiby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Fatma Ibrahim, Asmaa Hamad, Heba A. El-Khobby, Ghada M. El Banby, Noha A. El-Hag, Mahmoud A. Attia, Heba M. Emara, Ali A. Khalil, Ibrahim M. Eldokany, Eman M. Shahin, Mohamed Rihan, Taha E. Taha, Moawad I. Dessouky, El-Sayed M. El-Rabaie, Saleh A. Alshebeili
Publikováno v:
International Journal of Speech Technology. 22:739-767
Anomaly detection is a very vital area in medical signal and image processing due to its importance in automatic diagnosis. This paper presents three efficient anomaly detection approaches for applications related to Electroencephalogram (EEG) signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0331a40f0701245e800cc395a9ede4d
https://doi.org/10.1007/s10772-019-09610-z
https://doi.org/10.1007/s10772-019-09610-z
Autor:
Adel S. El-Fishawy, Sayed El-Rabaie, Taha E. Taha, Turky N. Alotaiby, Saleh A. Alshebeili, Fathi Abd El-Samie, Asmaa Hamad
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 28:53-64
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47168eea6f60b51d4952604e0215ee78
https://doi.org/10.21608/mjeer.2019.62763
https://doi.org/10.21608/mjeer.2019.62763
Publikováno v:
Journal of Information and Optimization Sciences. 40:699-723
A hybrid novel meta-heuristic optimization algorithm termed Whale Optimization Algorithm (WOA) and Support Vector Machines (SVMs) to obtain an Electroencephalogram (EEG) classification approach was...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5d35cf13d0af81d5e12d3fa54335254
https://doi.org/10.1080/02522667.2018.1453671
https://doi.org/10.1080/02522667.2018.1453671
Publikováno v:
Microbes and Infectious Diseases, Vol 4, Iss 4, Pp 1246-1254 (2023)
Background: Streptococcus agalactiae is classified as group B Streptococci (GBS) according to Lancefield classification, GBS resides as one of commensals of both genitourinary and gastrointestinal tracts of humans. GBS affects mainly immunocompromise
Externí odkaz:
https://doaj.org/article/8cb50623d91b4aa7947bcd65a84a98f9
Publikováno v:
Series in Machine Perception and Artificial Intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75873451f4ce7cd5d81059acbe777f0
https://doi.org/10.1142/9789813270237_0008
https://doi.org/10.1142/9789813270237_0008
Publikováno v:
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 ISBN: 9783319648606
AISI
AISI
This paper proposes a hybrid Electroencephalogram (EEG) classification approach based on grey wolf optimizer (GWO) enhanced support vector machines (SVMs) called GWO-SVM approach for automatic seizure detection. In order to decompose EEG into five su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c7667ed5ad32ebce6cb64fca496888
https://doi.org/10.1007/978-3-319-64861-3_10
https://doi.org/10.1007/978-3-319-64861-3_10
Publikováno v:
2016 12th International Computer Engineering Conference (ICENCO).
Epilepsy is one of the most common a chronic neurological disorders of the brain that affect millions of the world's populations. It is characterized by recurrent seizures, which are physical reactions to sudden, usually brief, excessive electrical d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::793c7e5729acaf454d572548bd134024
https://doi.org/10.1109/icenco.2016.7856467
https://doi.org/10.1109/icenco.2016.7856467