Search Results - (( topic identification based algorithm ) OR ( java application customization algorithm ))

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  1. 1

    Topic identification using filtering and rule generation algorithm for textual document by Nurul Syafidah, Jamil

    Published 2015
    “…The rule generation algorithm (TopId) is proposed to identify topic for each verse based on the extracted terms. …”
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    Thesis
  2. 2

    Topic identification method for textual document by Jamil, Nurul Syafidah, Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2017
    “…This paper proposes a topic identification method that filters the important terms from the preprocessed text and applied term weighting scheme to solve synonym problem.A rule generation algorithm is used to determine the appropriate topics based on the weighted terms.The text document used in the experiment is the English translated Quran.The topics identified from the proposed method were compared with topics identified using Rough Set and domain experts. …”
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    Article
  3. 3

    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

    Published 2016
    “…We then develop a new algorithm to address the summarizing strategies identification problem. …”
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    Thesis
  4. 4

    Key concept identification: A comprehensive analysis of frequency and topical graph-based approaches by Aman, M., Said, A.M., Kadir, S.J.A., Ullah, I.

    Published 2018
    “…The objective of the study presented in this paper is to perform a comprehensive empirical analysis of selected frequency and topical graph-based algorithms for key concept extraction on three different datasets, to identify the major sources of error in these approaches. …”
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    Article
  5. 5

    Key concept identification: A comprehensive analysis of frequency and topical graph-based approaches by Aman, M., Said, A.M., Kadir, S.J.A., Ullah, I.

    Published 2018
    “…The objective of the study presented in this paper is to perform a comprehensive empirical analysis of selected frequency and topical graph-based algorithms for key concept extraction on three different datasets, to identify the major sources of error in these approaches. …”
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    Article
  6. 6
  7. 7

    A hybrid of fuzzy c-means clustering and Latent Dirichlet Allocation for analysing philanthropic corporate social responsibility activities / Nik Siti Madihah Nik Mangsor by Nik Mangsor, Nik Siti Madihah

    Published 2023
    “…Conventional clustering algorithms are able to extract only a single set of flat topics in which local and global topics are mingled and cannot be separated. …”
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    Thesis
  8. 8
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    Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm by Al-Qattan, Zakaria Noor Aldeen Mahmood

    Published 2010
    “…In this project, angles based control with Bees Optimization search algorithm were adopted to search with guidance the protein conformational space in order to find the optimum solution. …”
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    Thesis
  10. 10

    Speech processing for makhraj recognition (design adaptive filter for noise removal) by Siti Nurmaisarah, Abdul Aziz

    Published 2010
    “…Least Mean Square (LMS) Algorithm based on Adaptive Filter technique is used to remove noise. …”
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    Undergraduates Project Papers
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  12. 12

    Autonomous Camera Alignment System by Salehian, Sina

    Published 2017
    “…The highest rate of success in verification or identification is achieved when a high resolution picture is taken, with the camera positioned exactly in front of the subject’s face, as demonstrated by some of the previous studies done on the topic. …”
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    Final Year Project
  13. 13

    KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data by Aman, M., Abdulkadir, S.J., Aziz, I.A., Alhussian, H., Ullah, I.

    Published 2021
    “…In the proposed approach, we exploited Latent Semantic Analysis (LSA) and clustering techniques and a novel frequency-based algorithm for candidate ranking is introduced which considers locality-based sentence, paragraph and section frequencies. …”
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    Article
  14. 14

    Plant leaf recognition algorithm using ant colony-based feature extraction technique by Ghasab, Mohammad Ali Jan

    Published 2013
    “…Then, based on the characteristics of each species, decision making is done by means of ant colony optimisation as a search algorithm to return the optimal subset of features regarding the related species. …”
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    Thesis
  15. 15

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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    Thesis
  16. 16

    A Review on EMG Signal Classification and Applications by Wan Ting, Evon Lim, Almon, Chai, Phei Chin, Lim

    Published 2022
    “…However, the proper algorithm to classify human movements from raw EMG signals has been an interesting and challenging topic to researchers. …”
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    Article
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    Application of Optimization Methods for Solving Clustering and Classification Problems by Shabanzadeh, Parvaneh

    Published 2011
    “…Cluster and classification analysis are very interesting data mining topics that can be applied in many fields. Clustering includes the identification of subsets of the data that are similar. …”
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    Thesis
  19. 19

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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    Conference or Workshop Item
  20. 20

    Control of grain drying process using self-tuning quantitative feedback theory by Mansor, Hasmah

    Published 2011
    “…Therefore, in the second stage of design, online QFT-based selftuning controller was proposed. The QFT constraints were integrated into the self-tuning algorithm to ensure the robustness of the controller. …”
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    Thesis