Search Results - (( developing multimedia selection algorithm ) OR ( java data normalization algorithm ))

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    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…Even a normal people using clustering to grouping their data. …”
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    Thesis
  2. 2

    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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    Conference or Workshop Item
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    Doctor-patient remote consultation system with secure medical images by Teh, Yee Heng

    Published 2022
    “…The smallest size with the fastest computational speed was selected and through the result, the selected algorithm was DNA encoding.…”
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    Academic Exercise
  5. 5

    Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks by Krishnasamy, Ganesh, Paramesran, Raveendran

    Published 2019
    “…Experiment results on several multimedia applications have shown that the proposed algorithm is competitive compared with the other single-view feature selection algorithms.…”
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    Article
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    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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    Thesis
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    Chatbot development in data representation for diabetes education by Abbas Saliimi, Lokman

    Published 2011
    “…Alongside the development of ViDi chatbot, several new approaches (algorithms and techniques) had been proposed. …”
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    Thesis
  20. 20

    WA VELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS by GANI, REGINA

    Published 2008
    “…To enhance the system performance, threshold level selection is done via histogram energy analysis and selection of best wavelet type through statistical study. …”
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    Final Year Project