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  1. 1
    Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber

    Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber by Zuber, Ammar

    Published 2019
    “…The testing phase is where two testing method were conducted which were the functionality testing and the benchmark testing. …”
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  2. 2
    A Constrained Optimization based Extreme Learning Machine for noisy data regression

    A Constrained Optimization based Extreme Learning Machine for noisy data regression by Yuong Wong S., Siah Yap K., Jen Yap H.

    Published 2023
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  3. 3
    Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation

    Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation by Moh'd Radwan, Eyad Moh'd

    Published 2004
    “…A simple yet effective rotor time constant identification method is presented and used for updating the slip calculator used by the IRFOC algorithms. …”
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  4. 4
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

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

    Published 2019
    “…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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  5. 5
    Rabbit breed classification using CNN / Aishah Nabila Mohd Zaid

    Rabbit breed classification using CNN / Aishah Nabila Mohd Zaid by Mohd Zaid, Aishah Nabila

    Published 2024
    “…The research methodology encompasses preliminary study, design and implementation, and evaluation phases. Literature review, knowledge acquisition, and dataset collection inform algorithm selection and dataset validation. …”
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  6. 6
    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim

    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim by Razali, Azli Amirul Ehsan, Halim, Faiqah Hafidzah

    Published 2022
    “…These phases are Requirement Gathering and Analysis Phase, Design Phase, and Implementation Phase. …”
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  7. 7
    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim

    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim by Razali, Azli Amirul Ehsan, Halim, Faiqah Hafidzah

    Published 2022
    “…These phases are Requirement Gathering and Analysis Phase, Design Phase, and Implementation Phase. …”
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  8. 8
    Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail

    Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail by Ismail, Khairul Nurmazianna

    Published 2014
    “…DuriO Methodology has five phases namely, determine scope, webpages analysis, reuse knowledge model, implementation and validation phases. …”
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  9. 9
    Sliding mode controller optimization-based three-phase rectifier: review study

    Sliding mode controller optimization-based three-phase rectifier: review study by Mahmood, Omar Talal, Wan Hasan, Wan Zuha, Ismail, Luthffi Idzhar, Ramli, Hafiz Rashidi Harun

    Published 2024
    “…This paper is vital for engineers, researchers, and experts focusing on the SMC of three-phase rectifiers. To our knowledge, no similar review of three-phase rectifiers is available for SMC. …”
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  10. 10
    Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm

    Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm by Mohd Kasihmuddin, Mohd Shareduwan, Abdul Halim, Nur Shahira, Mohd Jamaludin, Siti Zulaikha, Mansor, Mohd. Asyraf, Alway, Alyaa, Zamri, Nur Ezlin, Azhar, Siti Aishah, Marsani, Muhammad Fadhil

    Published 2023
    “…In reducing the learning complexity, a genetic algorithm was implemented to optimize the logical rule throughout the learning phase in performing a 2-satisfiability-based reverse analysis method, implemented during the learning phase as this method was compared. …”
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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
    Segmenting microcalcifications using enhanced distance active contour (EDAC) / Siti Salmah Yasiran

    Segmenting microcalcifications using enhanced distance active contour (EDAC) / Siti Salmah Yasiran by Yasiran, Siti Salmah

    Published 2010
    “…There are four major phases employed in this study. The first phase is the knowledge and data acquisition. …”
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  13. 13
    Frequent Lexicographic Algorithm for Mining Association Rules

    Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

    Published 2005
    “…The primary concept of association rule algorithms consist of two phase procedure. In the first phase, all frequent patterns are found and the second phase uses these frequent patterns in order to generate all strong rules. …”
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  14. 14
    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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  15. 15
    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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  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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