Search Results - (( java implementation rsa algorithm ) OR ( program eeg based algorithm ))

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  1. 1
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
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  2. 2
    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING

    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING by SALLEH AL-HUMAIKANI, MOHAMMED ABDULQAWI

    Published 2021
    “…RSA is one of these encryption algorithms that have been implemented in security systems. …”
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    Thesis
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  3. 3
    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe

    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe by Yakub Kayode, Saheed, Kazeem Alagbe, Gbolagade

    Published 2017
    “…Java programming language is used to implement the algorithm. …”
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  4. 4
    Secure Image Steganography Using Encryption Algorithm

    Secure Image Steganography Using Encryption Algorithm by Siti Dhalila, Mohd Satar, Roslinda, Muda, Fatimah, Ghazali, Mustafa, Mamat, Nazirah, Abd Hamid, An, P.K

    Published 2016
    “…A system based on the proposed algorithm will be implemented using Java and it will be more secured due to double-layer of security mechanisms which are RSA and Diffie-Hellman.…”
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    Conference or Workshop Item
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  5. 5
    Digitally signed electronic certificate for workshop / Azinuddin Baharum

    Digitally signed electronic certificate for workshop / Azinuddin Baharum by Baharum, Azinuddin

    Published 2017
    “…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
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  6. 6
    EEG artifact signals tracking and filtering in real time for command control application

    EEG artifact signals tracking and filtering in real time for command control application by Moghavvemi, M., Attaran, A., Moshrefpour Esfahani, M.H.

    Published 2011
    “…Research on non-invasive BMIs started in the 1980s by measuring brain electrical activity over the scalp electroencephalogram (EEG). In this paper, an attempt in made to present initial steps on a non-invasive BMI design based on pattern recognition algorithm method on EEG signals. …”
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  7. 7
    Electroencephalogram signal interpretation system for mobile robot

    Electroencephalogram signal interpretation system for mobile robot by Hasan, Intan Helina

    Published 2013
    “…Using sample datasets, the EEG signal is analyzed to determine the most suitable scalp area for P300 detection, while optimization with genetic algorithm (GA) is developed to select best four channels. …”
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  8. 8
    Evaluation of neurophysiological properties among methadone treatment subjects: EEG and ERP study / Farid Esmaeili Motlagh

    Evaluation of neurophysiological properties among methadone treatment subjects: EEG and ERP study / Farid Esmaeili Motlagh by Farid Esmaeili , Motlagh

    Published 2018
    “…EEG power spectrum and electro-cognitive responses were the main assessments to be evaluated in each phase of the study. …”
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  9. 9
    EEG signal complexity measurements to enhance BCI-based stroke patients' rehabilitation

    EEG signal complexity measurements to enhance BCI-based stroke patients' rehabilitation by Al-Qazzaz, Noor Kamal, Aldoori, Alaa A., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Mohammed, Ahmed Kazem, Mohyee, Mustafa Ibrahim

    Published 2023
    “…The dimensionality reduction algorithm, Laplacian Eigenmap (LE), was used to enhance the MI-based BCI classification performance. …”
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  10. 10
    EMG signal classification for human computer interaction: a review

    EMG signal classification for human computer interaction: a review by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2009
    “…The EMG controller can be programmed to perform gesture recognition based on signal analysis of groups of muscles action potential. …”
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