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  1. 1
    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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  2. 2
    Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching

    Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching by Ei Wei., Ting, M. Z., Ibrahim, D.J., Mulvaney

    Published 2017
    “…The Speeded-Up Robust Features (SURF) Algorithms is used to determine the interest points. …”
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  3. 3
    Fractal coding of bio-metric image for face authentication

    Fractal coding of bio-metric image for face authentication by Ahadullah, Md

    Published 2021
    “…This thesis implements the algorithms for the Methods of CPM, BPBM fractal coding, and its application. …”
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  4. 4
    An improved binary method for scalar multiplication in elliptic curve cryptography

    An improved binary method for scalar multiplication in elliptic curve cryptography by Mohamed, Mohamad Afendee, Md. Said, Mohamad Rushdan, Mohd Atan, Kamel Ariffin, Ahmad Zulkarnain, Zuriati

    Published 2010
    “…Using binary method, the operation of doubling depends solely on the length of binary representation itself, so the most probable way to reduce the total number of the whole operation is by reducing the number of addition operation. …”
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  5. 5
    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…A novel feature extraction algorithm was developed to extract the feature vectors. …”
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  6. 6
    Schelkunoff array synthesis methods using adaptive-iterative algorithm

    Schelkunoff array synthesis methods using adaptive-iterative algorithm by Abdul Latiff, Nurul Mu'azzah

    Published 2003
    “…Basically, this algorithm is a combination of iterative algorithm with adaptive algorithm. …”
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  7. 7
    An Integrated Approach to the Reduction of Reactive Power Losses in Radial Distribution Network

    An Integrated Approach to the Reduction of Reactive Power Losses in Radial Distribution Network by Than, Khong Hon

    Published 2004
    “…The objective of this project is to compensate reactive power with appropriate methods. There are basically two commonly usedmethods: network reconfiguration and capacitor insertion. …”
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    Final Year Project
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  8. 8
    Parameter extraction of photovoltaic module using hybrid evolutionary algorithm

    Parameter extraction of photovoltaic module using hybrid evolutionary algorithm by Muhsen D.H., Ghazali A.B., Khatib T.

    Published 2023
    Conference Paper
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  9. 9
    Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin

    Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin by Zainal Abidin, Abdul Hakim

    Published 2016
    “…This research scope are to develop a computer application that can extract meaningful information in images by implement KMeans clustering algorithm 10 self capture facial image will be use as the research subject to test the algorithm that will extracting meaningful information of the person. …”
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  10. 10
    A block-based multi-scale background extraction algorithm

    A block-based multi-scale background extraction algorithm by Davarpanah, Seyed Hashem, Khalid, Fatimah, Golchin, Maryam

    Published 2010
    “…Conclusion: Using Multi scaling filtering and applying the filters just to some selected nonoverlapped blocks reduce the time consumption of the extracting background algorithm. …”
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  11. 11
    Development of a new nonlinear filtering algorithm for impulse noise reduction

    Development of a new nonlinear filtering algorithm for impulse noise reduction by Ahmad, Mohd Ashraf

    Published 2020
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    Research Report
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  12. 12
    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms

    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms by Rachmad, Iqbal, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Tata, Sutabri

    Published 2024
    “…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
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  13. 13
    Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding

    Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding by Sarwar, Talha, Mohd Noor, Noorhuzaimi Karimah, Miah, M. Saef Ullah

    Published 2022
    “…This study proposes a method for finding similar news articles that can be used in conjunction with other methods already in use.…”
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  14. 14
    A fingerprint matching algorithm using bit-plane extraction method with phase-only correlation

    A fingerprint matching algorithm using bit-plane extraction method with phase-only correlation by Florence, Francis-Lothai, Bong, David B L

    Published 2017
    “…Region of interest (ROI) of a fingerprint image is extracted by using a modified blob analysis method, and then the core point of the ROI is detected for dimension reduction process. …”
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  15. 15
    Machine Vision Application For Automatic Defect Segmentation In Weld Radiographs

    Machine Vision Application For Automatic Defect Segmentation In Weld Radiographs by Soo , Say Leong

    Published 2006
    “…The weld extraction algorithm was developed to locate and extract welds automatically from the intensity profiles taken across the image by using graphical analysis. …”
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  16. 16
    Social media mining: a genetic based multiobjective clustering approach to topic modelling

    Social media mining: a genetic based multiobjective clustering approach to topic modelling by Alfred, Rayner, Loo, Yew Jie, Obit, Joe Henry, Lim, Yuto, Haviluddin, Haviluddin, Azman, Azreen

    Published 2021
    “…As the components of big data continue to expand, the task of extracting useful information becomes critical. Topic extraction refers to the process of extracting main topics from the pool of news feed and a typical method to perform topic extraction is through clustering. …”
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  17. 17
    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 proposed filtering algorithm (PFA) will extract the most relevant terms from text and solve synonym roblem amongst the extracted terms. …”
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  18. 18
    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier

    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

    Published 2018
    “…Classic local binary pattern (LBP) is one of the most useful feature extraction methods. Moreover, K-Nearest Neighbour (K-NN) classifier is one of the widely use classifier due to its simplicity. …”
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    Monograph
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  19. 19
    An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks

    An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks by Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya

    Published 2020
    “…No preprocessing method was required while feature extraction was combined with classification. …”
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  20. 20
    Text Extraction Algorithm for Web Text Classification

    Text Extraction Algorithm for Web Text Classification by Theab, Mustafa Muwafak

    Published 2010
    “…A text extraction prototype is built using Visual C# 2008 to validate the algorithm. …”
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