Search Results - (( java implementation learning algorithm ) OR ( using pca based algorithm ))

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  1. 1
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
    “…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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  2. 2
    Improved nu-support vector regression algorithm based on principal component analysis

    Improved nu-support vector regression algorithm based on principal component analysis by Abdullah Mohammed, Rashid, Habshah, Midi

    Published 2023
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  3. 3
    Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian

    Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian by Zahedeh, Zamanian

    Published 2019
    “…Also, log files are heterogenous and cannot fed them directly in machine learning algorithms. Furthermore, many of the companies use the signature-based detection method which is not capable of capturing more advanced attackers that use unfamiliar attacks methods. …”
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  4. 4
    Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification

    Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification by Mohamed Ali, Mohamed Hassan

    Published 2017
    “…The algorithm was mainly inspired by spatial pyramid pooling in generic image classification combined with PCA. …”
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  5. 5
    Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models

    Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models by Quadros, Jaimon Dennis, Khan, Sher Afghan, Aabid, Abdul, Baig, Muneer

    Published 2023
    “…In this work, the optimal base pressure is determined using the PCA-BAS-ENN-based algorithm to modify the base pressure presetting accuracy, thereby regulating the base drag required for the smooth flow of aerodynamic vehicles. …”
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  6. 6
    A region-based Principal Component Analysis (PCA) technique for medical image compression

    A region-based Principal Component Analysis (PCA) technique for medical image compression by Lim, Sin Ting

    Published 2022
    “…The research has successfully developed an improved region-based compression scheme for medical images where lossy and lossless compression is implemented in one PCA architecture. …”
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  7. 7
    The performance of k-means clustering method based on robust principal components

    The performance of k-means clustering method based on robust principal components by Kadom, Ahmed, Midi, Habshah, Rana, Sohel

    Published 2018
    “…To remedy this problem, we proposed to integrate robust principal component analysis (RPCA) with the k-means algorithm. Simulation study and real examples are carried out to compare the performance of the classical k-means, k-means based on PCA and k-means based on RPCA. …”
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  8. 8
    Performance analysis of robust road sign identification

    Performance analysis of robust road sign identification by Mohd Ali, Nursabillilah

    Published 2013
    “…For successful recognition rates using PCA can be achieved in the range of 94-98%. …”
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  9. 9
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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  10. 10
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  11. 11
    Towards Practical Face Recognition System Employing Row-Based Distance Method In 2dpca Based Algorithms

    Towards Practical Face Recognition System Employing Row-Based Distance Method In 2dpca Based Algorithms by Al-Arashi, Waled Hussein Mohammed

    Published 2014
    “…One of the most important extensions of PCA is Two-dimensional PCA (2DPCA). However, 2DPCA-based features are matrices rather than vectors as in PCA. …”
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  12. 12
    Adaptive Pca-Based Models To Reconstruct 3d Faces From Single 2d Images

    Adaptive Pca-Based Models To Reconstruct 3d Faces From Single 2d Images by Maghari, Ashraf Y. A.

    Published 2014
    “…Example-based statistical face models using Principle Component Analysis (PCA) have been widely used for 3D face reconstruction and face recognition. …”
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  13. 13
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  14. 14
    Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224)

    Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224) by Mahat, Nor Idayu, Engku Abu Bakar, Engku Muhammad Nazri, Zakaria, Ammar, Mohd Nazir, Mohd Amril Nurman, Misiran, Masnita

    “…Then, the weights are used together with either Principal Component Analysis (PCA) or Partial Least Square (PLS) to tackle the collinearity among variables. …”
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  15. 15
    Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data

    Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data by Habshah Midi, Jaaz Suhaiza, Mohd Aslam, Hani Syahida, Emi Amielda

    Published 2025
    “…However, the MRCD-PCA algorithm is quite cumbersome and required longer computational running time. …”
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  16. 16
    Face identification and verification using PCA and LDA

    Face identification and verification using PCA and LDA by Chan, Lih Heng, Shaikh Salleh, Sheikh Hussain, Ting, Chee Ming, Ariff, Ahmad Kamarul

    Published 2008
    “…Algorithms based on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) are among the most popular appearance-based approaches in face recognition. …”
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  17. 17
    An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis

    An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis by Ong, Phaik Ling

    Published 2016
    “…The proposed PCA-WAT algorithm is benchmarked with the Apriori and Apriori-T algorithms.Comparison analysis on weighted support has been performed to evaluate the capability of PCA in normalising item’s support value. …”
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  18. 18
    Performance analysis of robust road sign identification

    Performance analysis of robust road sign identification by Ali, Nursabillilah M, Mohd Mustafah, Yasir, Alang Md Rashid, Nahrul Khair

    Published 2013
    “…For successful recognition rates using PCA can be achieved in the range of 94-98. …”
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  19. 19
    Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data (penambahbaikan analisis komponen utama berdasarkan penentu kovarian teratur minimum bagi mengecam titik tuasan tinggi untuk data dimensi tinggi)

    Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data (penambahbaikan... by Midi, Habshah, Suhaiza, Jaaz, Mohd Aslam, ., Hani Syahida, ., Emi Amielda, .

    Published 2025
    “…However, the MRCD-PCA algorithm is quite cumbersome and required longer computational running time. …”
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  20. 20
    Fault diagnostic model for rotating machinery based on principal component analysis and neural network

    Fault diagnostic model for rotating machinery based on principal component analysis and neural network by Muhammad, M.B, Sarwar, U., Tahan, M.R., Abdul Karim, Z.A.

    Published 2016
    “…The effectiveness of the proposed model is illustrated by a case study on two shaft industrial gas turbine where the real-time performance monitoring data collected from the plant and used to train and test the proposed algorithm. The analysis results show that the PCA-based fusion process has significantly enhanced the performance of NNbased model when compared against NN algorithm without PCA. …”
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