Search Results - (( mode selection method algorithm ) OR ( java implementation clustering algorithm ))

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  1. 1
    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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  2. 2
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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  3. 3
    A Toolkit for Simulation of Desktop Grid Environment

    A Toolkit for Simulation of Desktop Grid Environment by FOROUSHAN, PAYAM CHINI

    Published 2014
    “…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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  4. 4
    Enhancing Performance of Batik SMEs through Cleaner Production Adoption: Insights from Clustering Algorithm Analysis

    Enhancing Performance of Batik SMEs through Cleaner Production Adoption: Insights from Clustering Algorithm Analysis by Achmad, Fandi, Zulkarnain, Ibnu, Rumanti, Augustina Asih, Wiratmadja, Iwan Inrawan, Shuhidan, Shuhaida Mohamed

    Published 2025
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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  6. 6
    Application-Programming Interface (API) for Song Recognition Systems

    Application-Programming Interface (API) for Song Recognition Systems by Murtadha Arif Sahbudin, Chakib Chaouch, Salvatore Serrano

    Published 2024
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  7. 7
    Enhancing Model Selection Based On Penalized Regression Methods And Empirical Mode Decomposition

    Enhancing Model Selection Based On Penalized Regression Methods And Empirical Mode Decomposition by Al Jawarneh, Abdullah Suleiman Saleh

    Published 2021
    “…Those methods are combined with the first part of the Hilbert–Huang transformation, namely, the empirical mode decomposition (EMD) algorithm. …”
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  8. 8
    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
    “…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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  9. 9
    An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel

    An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K.

    Published 2019
    “…Using four datasets, analysis parameters of the Ensemble Empirical Mode Decomposition (EEMD) algorithm has been conducted. …”
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  10. 10
    An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel

    An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K.

    Published 2019
    “…Using four datasets, analysis parameters of the Ensemble Empirical Mode Decomposition (EEMD) algorithm has been conducted. …”
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  11. 11
    An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel

    An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel by Mohd Jaafar, N.S., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

    Published 2019
    “…However, receiving desired and eliminating undesired information is yet a significant problem of these methods. Empirical Mode Decomposition (EMD) algorithm shows promising results in comparison to other signal processing methods especially in terms of accuracy. …”
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  12. 12
    An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel

    An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel by Mohd Jaafar, N.S., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

    Published 2019
    “…However, receiving desired and eliminating undesired information is yet a significant problem of these methods. Empirical Mode Decomposition (EMD) algorithm shows promising results in comparison to other signal processing methods especially in terms of accuracy. …”
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  13. 13
    Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection

    Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection by Ambark, Ali Saleh Al-Massri

    Published 2024
    “…Therefore, three methods based on a combination of the empirical mode decomposition (EMD) algorithm and penalized quantile regression have been proposed in this study. …”
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  14. 14
    Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster

    Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster by Ali, Wala'a Hussein

    Published 2018
    “…Also CS-RD show acceptable performance which is above 85% for compression ratio which that reflect the energy consumption. The Mode method effect negatively in performance all algorithms, the worst CS-RD with Mode in term of energy consumption closes to 2500uJ. …”
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  15. 15
    Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique

    Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique by Muhammad Hanafi, Yusop

    Published 2018
    “…However, this method has the difficulty in selecting the suitable IMF for the next data post-processing method, which is Hilbert Transform (HT). …”
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  16. 16
    Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman

    Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman by Seman, Ali

    Published 2013
    “…For the overall performances which were based on the six data sets, the &-AMH algorithm recorded the highest mean accuracy scores of 0.93 as compared to the other algorithms: the ^-Population (0.91), the &-Modes-RVF (0.81), the New Fuzzy &-Modes (0.80), A:-Modes (0.76), &-Modes-HI (0.76), £-Modes- HII (0.75), Fuzzy £-Modes (0.74) and £-Modes-UAVM (0.70). …”
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  17. 17
    A survey on signal processing methods in fiber optic sensor for oxidized carbon steel

    A survey on signal processing methods in fiber optic sensor for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

    Published 2019
    “…We selected these two algorithms because our focus is on these methods. …”
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  18. 18
    A survey on signal processing methods in fiber optic sensor for oxidized carbon steel

    A survey on signal processing methods in fiber optic sensor for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

    Published 2019
    “…We selected these two algorithms because our focus is on these methods. …”
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  19. 19
    Dynamic smart grid communication parameters based cognitive radio network

    Dynamic smart grid communication parameters based cognitive radio network by Haider H.T., Muhsen D.H., Shahadi H.I., See O.H., Elmenreich W.

    Published 2023
    “…This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. …”
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  20. 20
    The Use of Transmission Line Modelling to Test the Effectiveness of I-kaz as Autonomous Selection of Intrinsic Mode Function

    The Use of Transmission Line Modelling to Test the Effectiveness of I-kaz as Autonomous Selection of Intrinsic Mode Function by Hanafi, M. Yusop, M. F., Ghazali, M. F. M., Yusof, Remli, M. A. Pi, Karollah, B., Rusman, .

    Published 2017
    “…The analysis results using I-kaz-kurtosis ratio revealed that the method can be utilised as an automatic selection of intrinsic mode function (IMF) although the noise level ratio of the signal is lower. …”
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