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  1. 1
    Development of scalable video compression algorithm

    Development of scalable video compression algorithm by Khalifa, Othman Omran, Issa, Sinzobakwira, Abomhara, Mohamed

    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
    “…In this paper, we design a new selective video encryption based on H.264/AVC and AES. In this proposed scheme, instead of encrypting the entire video stream bit by bit, only the I-frames bitstreams are encrypted. …”
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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
    “…In this paper, we design a new selective video encryption based on H.264/AVC and AES. In this proposed scheme, instead of encrypting the entire video stream bit by bit, only the I-frames bitstreams are encrypted. …”
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  4. 4
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  5. 5
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  6. 6
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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  7. 7
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  8. 8
    Diagnosis security problems in cloud computing for business cloud

    Diagnosis security problems in cloud computing for business cloud by Shakir M., Abubakar A.B., Yousoff Y.B., Sagher A.M., Alkayali H.

    Published 2023
    “…Secondly , they prefer to develop the multi-key cipher algorithm in order to manage the encryption based on the level of security. � 2005 - 2016 JATIT & LLS. …”
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  9. 9
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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  10. 10
    AI powered asthma prediction towards treatment formulation: an android app approach

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  11. 11
    AI powered asthma prediction towards treatment formulation : An android app approach

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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