Search Results - (( using function method algorithm ) OR ( topic identification based algorithm ))

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  1. 1
    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani

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

    Published 2016
    “…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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  2. 2
    Application of Optimization Methods for Solving Clustering and Classification Problems

    Application of Optimization Methods for Solving Clustering and Classification Problems by Shabanzadeh, Parvaneh

    Published 2011
    “…This method does not explicitly use derivatives, and is particularly appropriate when functions are non-smooth. …”
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  3. 3
    Topic identification using filtering and rule generation algorithm for textual document

    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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  4. 4
    Topic identification method for textual document

    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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  5. 5
    Key concept identification: A comprehensive analysis of frequency and topical graph-based approaches

    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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  6. 6
    Key concept identification: A comprehensive analysis of frequency and topical graph-based approaches

    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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  7. 7
    Control of grain drying process using self-tuning quantitative feedback theory

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

    Published 2011
    “…System identification technique which utilised experimental input/output data was used to model the grain dryer plant. …”
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  8. 8
    Inverse parameter identification of elastic and inelastic constitutive material models

    Inverse parameter identification of elastic and inelastic constitutive material models by Hrairi, Meftah

    Published 2011
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  9. 9
    A hybrid of fuzzy c-means clustering and Latent Dirichlet Allocation for analysing philanthropic corporate social responsibility activities / Nik Siti Madihah Nik Mangsor

    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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  10. 10
    Human identification system based on moment invariant features

    Human identification system based on moment invariant features by Mohd Ibrahim, Azhar, Shafie, Amir Akramin, Rashid, Muhammad Mahbubur

    Published 2012
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  11. 11
    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar

    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar by Mohamed Azhar, Nur Afiqah

    Published 2019
    “…Therefore, numerical method in the form of bracketing method is often used to find only the approximate root of the function. …”
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  12. 12
    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions

    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions by Abbas, Iraq Tareq

    Published 2018
    “…The second technique is to solve bi-objective functions by using the BOBAT algorithm. The third technique is an integration of BOGSA with BOBAT to produce a BOGSBAT algorithm. …”
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  13. 13
    Determining the preprocessing clustering algorithm in radial basis function neural network

    Determining the preprocessing clustering algorithm in radial basis function neural network by S.L. Ang, H.C. Ong, H.C. Law

    Published 2008
    “…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
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  14. 14
    Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm

    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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  15. 15
    Speech processing for makhraj recognition (design adaptive filter for noise removal)

    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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  16. 16
    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller

    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller by Ismail, H. Muh Yusuf

    Published 2010
    “…Thus it is important to select the accurate membership functions but these methods possess one common weakness where conventional FLC use membership function and control rules generated by human operator. …”
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  17. 17
    The efficiency of conjugate gradient methods with global convergence / Siti Nur Hafiza Shamsudin

    The efficiency of conjugate gradient methods with global convergence / Siti Nur Hafiza Shamsudin by Shamsudin, Siti Nur Hafiza

    Published 2019
    “…The global convergence result is established using exact line searches. Numerical result shows that algorithm 2 which is one of the proposed CG methods is more efficiency when compared to other algorithms.…”
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  18. 18
    Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm

    Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm by Dalatu, Paul Inuwa

    Published 2018
    “…It shows that the IQR-HEOM method is more efficient to rectify the problem caused by using range in HEOM. …”
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  19. 19
    A Proposed Method For Selecting The Clustering Algorithm In Radial Basis Function [QA223. A581 2008 f rb].

    A Proposed Method For Selecting The Clustering Algorithm In Radial Basis Function [QA223. A581 2008 f rb]. by Ang, Sau Loong

    Published 2008
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  20. 20
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…As a result, the highest average accuracy generated which is 96.91% by using WBCD dataset. The average accuracy of Bat Algorithm is comparing with other methods. …”
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