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  1. 1
    Selective video encryption algorithm based on H.264/AVC and AES

    Selective video encryption algorithm based on H.264/AVC and AES by Omar zakaria, Mohamed Abomhara, Khalifa, Othman Omran

    Published 2011
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  2. 2
    An experiment of scalable video security solution using H.264/AVC and advanced encryption standard (AES): Selective cryptography

    An experiment of scalable video security solution using H.264/AVC and advanced encryption standard (AES): Selective cryptography by Abomhara, Mohamed, Khalifa, Othman Omran, Zaidan , A. A., Zaidan , B. B., Zakaria, Omar, Gani, Abdullah

    Published 2011
    “…This method took into consideration the good features of selective encryption algorithms with regard to computational complexity, and data compression performance. …”
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  3. 3
    An experiment of scalable video security solution using H. 264/AVC and advanced encryption standard (AES): selective cryptography

    An experiment of scalable video security solution using H. 264/AVC and advanced encryption standard (AES): selective cryptography by Abomhara, Mohamed, Khalifa, Othman O., Zaidan, A.A., Zaidan, B.B., Zakaria, Omar, Gani, Abdullah

    Published 2011
    “…This method took into consideration the good features of selective encryption algorithms with regard to computational complexity, and data compression performance. …”
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  4. 4
    A new KD-3D-CA block cipher with dynamic S boxes based on 3D cellular automata

    A new KD-3D-CA block cipher with dynamic S boxes based on 3D cellular automata by Hamdi, Ayman Majid

    Published 2019
    “…Most research in the literature used fixed key expansion algorithm for encryption and decryption. …”
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  5. 5
    Performance evaluation of symmetric cryptography algorithm for database system / Mariam Azwa Yazid

    Performance evaluation of symmetric cryptography algorithm for database system / Mariam Azwa Yazid by Yazid, Mariam Azwa

    Published 2015
    “…This research evaluates the performance of three different symmetric cryptography algorithms. A series of testing cycles has been carrier out to identify the fastest algorithm. …”
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  6. 6
    Dynamic key scheduling algorithm for block ciphers using quasigroup string transformation

    Dynamic key scheduling algorithm for block ciphers using quasigroup string transformation by Hassan Disina, Abdulkadir

    Published 2018
    “…To archive that, some algorithms adopt the use of matrixes such as quasigroup, Hybrid cubes and substitution box (S-box) to generate the encryption keys. …”
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  7. 7
    Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC

    Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC by Ismail, Haqi Khalid

    Published 2021
    “…The design combined symmetric key encryption (AES) for the message encryption with the asymmetric key encryption (ECC). …”
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  8. 8
    Japanese face emotions classification using lip features

    Japanese face emotions classification using lip features by Mohamad Rizon, Mohamed Juhari, Muthukaruppan, Karthigayan, Sazali, Yaacob, Nagarajan, R.

    Published 2009
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  9. 9
    Development of a personified face emotion recognition technique using fitness function

    Development of a personified face emotion recognition technique using fitness function by Muthukaruppan, Karthigayan, Mohd Rizon, Mohamed Juhari, Ramachandran, Nagarajan, Masanori, Sugisaka, Sazali, Yaacob, Mohd Rozailan, Mamat, Hazry, Desa

    Published 2009
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  10. 10
    Estimating Face Emotion using Genetic Algorithm

    Estimating Face Emotion using Genetic Algorithm by Karthigayan, M., Mohd Rizon, Muhamed Juhari, Sazali, Yaacob, Nagarayan, R.

    Published 2009
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  11. 11
    Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)

    Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE) by Al-Ghaili A.M., Kasim H., Al-Hada N.M., Othman M., Saleh M.A., Jihua W.

    Published 2023
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  12. 12
    Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid

    Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid by Zahid, Zuhaili

    Published 2008
    “…The process of embedding and retracting the data cause the original embedded data to be distorted as a side effect of the current method used. Due to the frequently use of rounding approach, embedded data or watermark hidden in an image is retrieved differently from the original watermark (Shih et al, 2004). …”
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  13. 13
    Identification of Electrooculography Signals Frequency Energy Distribution Using Wavelet Algorithm

    Identification of Electrooculography Signals Frequency Energy Distribution Using Wavelet Algorithm by W. Daud, W. M. Bukhari, Sudirman, Rubita, Omar, Camallil

    Published 2011
    “…Statistically, the results in this study indicate that there are 93% (averages) significance differences in the extracted features of wavelet Scalogram analysis. …”
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  14. 14
    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN

    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN by SARI, YUNITA SARI

    Published 2011
    “…In our research, extraction pattern from the first module will be fed to this algorithm and is used to make the prediction of named entity candidate category. …”
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  15. 15
    Acoustic echo cancellation using adaptive filtering algorithms for quranic accents (Qiraat) identification

    Acoustic echo cancellation using adaptive filtering algorithms for quranic accents (Qiraat) identification by Kamarudin, Noraziahtulhidayu, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Abushariah, Mohammad A. M., Hashim, Shaiful Jahari, Hassan Azhari, Abd Rauf

    Published 2015
    “…Once clean Quranic signals are produced, they undergo feature extraction and pattern classification phases. The Mel Frequency Cepstral Coefficients is the most widely used technique for feature extraction and is adopted in this research work, whereas probabilities principal component analysis (PPCA), K-nearest neighbor (KNN) and gaussian mixture model (GMM) are used for pattern classification. …”
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  16. 16
    Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion

    Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion by Muthukaruppan, Karthigayan, Mohd Rizon, Mohamed Juhari, Sazali, Yaacob, Ramachandran, Nagarajan, Masanori, Sugisaka, Mohd Rozailan, Mamat

    Published 2009
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  17. 17
    Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization

    Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization by Adebayo, Olawale Surajudeen, Abdul Aziz, Normaziah

    Published 2014
    “…This paper presents a classification of android malware using candidate detectors generated from an unsupervised association rule of Apriori algorithm improved with particle swarm optimization to train three different supervised classifiers. …”
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  18. 18
    A new approach for recognition of human emotions

    A new approach for recognition of human emotions by Karthigayan, M., Mohd Rizon, Muhamed Juhari, Sazali, Yaacob, Nagarajan, R.

    Published 2009
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  19. 19
    PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm

    PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm by Muhamad Zahim, Sujod, Siti Nor Azlina, Mohd Ghazali, Mohd Fadzil, Abdul Kadir, Al-Shetwi, Ali Qasem

    Published 2024
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  20. 20
    Development and implementation of GPS for location tracking / Ahmad Ashraff Ariffin

    Development and implementation of GPS for location tracking / Ahmad Ashraff Ariffin by Ariffin, Ahmad Ashraff

    Published 2011
    “…The microcontroller will be used to parse the NMEA data sentences and calculate the algorithm. …”
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