Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sami M. El-Dolil"'
Autor:
Saly Abd-Elateif El-Gindy, Fatma E. Ibrahim, Mohamed Alabasy, Hesham M. Abdelzaher, Mahmoud El-Refy, Ashraf A. M. Khalaf, Sami M. El-Dolil, Adel S. El-Fishawy, Taha E. Taha, El-Sayed M. El-Rabaie, Moawad I. Dessouky, Ibrahim El-Dokany, Osama A. Oraby, Turky N. Alotaiby, Saleh A. Alshebeili, Fathi E. Abd El-Samie
Publikováno v:
Wireless Personal Communications. 125:1013-1046
Autor:
Mohamed Monir, Mona Kareem, Sami M. El-Dolil, Adel Saleeb, Adel S. El-Fishawy, Mohamed Abd-Elsalam Nassar, Mohamed A. Zein Eldin, Fathi E. Abd El-Samie
Publikováno v:
International Journal of Speech Technology. 25:471-492
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
Autor:
Adel S. El-Fishawy, M. M. Nassar, El-Sayed M. El-Rabaie, Sami M. El-Dolil, Mohamad Monir, Adel A. Saleeb, M. A. Zain El-Din, Mona Kareem, Fathi E. Abd El-Samie
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 28:107-114
The secured biometric templates play an important role in real applications of recognition system to generate revocable biometric templates. This paper introduces a proposed technique in cancelable biometrics that is used for speaker recognition. In
Autor:
Turky N. Alotaiby, El-Sayed M. El-Rabaie, Saleh A. Alshebeili, Saly Abd-Elateif El-Gindy, Moawaed I. Dessouky, Adel S. El-Fishawy, Ibrahim M. Eldokany, Fathi E. Abd El-Samie, Sami M. El-Dolil, Fatma Ibrahim
Publikováno v:
International Journal of Speech Technology. 22:191-203
This paper presents a patient-specific approach for electroencephalography (EEG) channel selection and seizure prediction based on statistical probability distributions of the EEG signals. This approach has two main phases; training and testing phase