Search Results - (( java implementation learning algorithm ) OR ( using charts using 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
    ROAD algorithm for control charts / Gejza Dohnal

    ROAD algorithm for control charts / Gejza Dohnal by Dohnal, Gejza

    Published 2015
    “…Using with robust control chart we obtain a robust adaptive control chart (ROAD). …”
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  3. 3
    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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  4. 4
    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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  5. 5
    Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness

    Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness by Ahmad Basri, Nur Ain Zafirah

    Published 2018
    “…This study aims to generate fuzzy numbers by using triangular and Gaussian approaches and to analyse the algorithm of fuzzy control charts by using α-cut and to analyse the algorithm of traditional control charts of -R and -S towards the solder paste thickness of integrated circuit data. …”
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  6. 6
    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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  7. 7
    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)

    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC) by Ibrahim, Kamarul 'Asri, Ahmad, Arshad, Ali, Mohamad Wijayanuddin, Mak, Weng Yee

    Published 2006
    “…Shewhart Control Chart (SCC) and Range Control Chart (RCC) are used with the developed correlation coefficients for FDD. …”
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    Monograph
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  8. 8
    Fiducial registration error as a statistical process control metric in image-guidance radiotherapy with fiducial markers

    Fiducial registration error as a statistical process control metric in image-guidance radiotherapy with fiducial markers by Ung, N.M., Wee, L.

    Published 2011
    “…The SPC methodology, implemented in the form of individually customized x-charts, has been shown to be a useful tool for monitoring process reliability during fiducial-based IGRT for prostate cancer.…”
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  9. 9
    Development Of Two New Auxiliary Information Control Charts, And Economic And Economic-Statistical Designs Of Several Auxiliary Information Control Charts

    Development Of Two New Auxiliary Information Control Charts, And Economic And Economic-Statistical Designs Of Several Auxiliary Information Control Charts by Ng Peh, Sang

    Published 2020
    “…Optimal parameters computed using the optimization algorithms developed and the step-by-step approach for constructing the optimal RS - AI chart are provided in this thesis. …”
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  10. 10
    Monitoring the coefficient of variation using a variable parameters chart

    Monitoring the coefficient of variation using a variable parameters chart by Yeong, Wai Chung, Lim, Sok Li, Khoo, Michael Boon Chong, Castagliola, Philippe

    Published 2018
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  11. 11
    Monitoring the coefficient of variation using a variable sample size EWMA chart

    Monitoring the coefficient of variation using a variable sample size EWMA chart by Muhammad, Anis Nabila, Yeong, Wai Chung, Chong, Zhi Lin, Lim, Sok Li, Khoo, Michael Boon Chong

    Published 2018
    “…Subsequently, an optimization algorithm to optimize the performance of the proposed chart is developed. …”
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  12. 12
    Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor

    Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor by Brahim Belhaouari, samir

    Published 2009
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    Citation Index Journal
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  13. 13
    Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor

    Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor by Brahim Belhaouari, samir

    Published 2008
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  14. 14
    Development of a rule-based fault diagnostic advisory system for precut fractionation column

    Development of a rule-based fault diagnostic advisory system for precut fractionation column by Heng, Han Yann

    Published 2005
    “…The advisory system algorithm used process history based method and presented by rule-based approach. …”
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  15. 15
    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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  16. 16
    Fault diagnostic advisory system using moving-range chart and hazard operability study.

    Fault diagnostic advisory system using moving-range chart and hazard operability study. by Heng, Han Yann, Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

    Published 2007
    “…Firstly, a plant model was simulated by using commercial HYSYS. PlantTM stimulator. Moving-Range (x-MR) Chart and (HAZOP) study were used to define the causes and consequences of process deviation based on selected parameter for each study node. …”
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  17. 17
    Estimation of shallow water bathymetry at Terengganu coastal using Sentinel-2 imagery / Muhammad Rahmat Azhar Mohamed Jaris

    Estimation of shallow water bathymetry at Terengganu coastal using Sentinel-2 imagery / Muhammad Rahmat Azhar Mohamed Jaris by Mohamed Jaris, Muhammad Rahmat Azhar

    Published 2024
    “…Hence, with the derived of chart soundings from nautical chart, previous hydrographic data is placed in a geographical context, enabling the direct input of depth measurements as parameters for ratio algorithms. …”
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  18. 18
    Fault diagnostic advisory system using moving-range chart and hazard operability study

    Fault diagnostic advisory system using moving-range chart and hazard operability study by Heng, Han Yann, Ali, Mohamed Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2007
    “…Firstly, a plant model was simulated by using commercial HYSYS. PlantTM simulator. Moving-Range (x-MR) Chart and HAZOP study were used to define the causes and consequences of process deviation based on selected parameter for each study node. …”
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  19. 19
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  20. 20
    Unsupervised classification of multi-class chart images: A comparison of customized CNNs and transfer learning techniques

    Unsupervised classification of multi-class chart images: A comparison of customized CNNs and transfer learning techniques by Hassan Zaidi, Syed Muhammad, Jamil Alsayaydeh, Jamil Abedalrahim, Khan, Abdul Hafeez, Khan, Abdullah Ayub, AlZubi, Ahmad Ali, Ogunshola, Benny, Herawan, Safarudin Gazali

    Published 2025
    “…The k-means clustering algorithm is then applied to group visually similar chart images. …”
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