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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  4. 4
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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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
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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    Citation Index Journal
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  7. 7
    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
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  8. 8
    Variation over time of the Perez calibration algorithm for ground-based spectrometer

    Variation over time of the Perez calibration algorithm for ground-based spectrometer by Chin, Su Na, Natalie Vanessa Boyou, Rubena Binti Yusoff, Ag. Sufiyan Abd. Hamid, Fauziah Sulaiman, Jedol Dayou

    Published 2016
    “…A spectrometer is likely to perform as expected over a period of time if calibrated with suitable method. This paper aims to study the variation of the Perez calibration algorithm over time for a spectrometer. …”
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  9. 9
    A new algorithm to estimate attenuation using frequency shift methods

    A new algorithm to estimate attenuation using frequency shift methods by Maman Hermana, Hammad Hazim Mohd Azhar, Zuhar Zahir Tuan Harith

    Published 2012
    “…The proposed algorithm has been tested to gauge its performance using three different scenarios; Q variation, travel time variation, and signal to noise ratio (SNR) variation. …”
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  10. 10
    Model-based hybrid variational level set method applied to lung cancer detection

    Model-based hybrid variational level set method applied to lung cancer detection by Jing, Wang, Liew, Siau-Chuin, Azian, Abd Aziz

    Published 2024
    “…This paper presents a novel model-based hybrid variational level set method (VLSM) tailored for lung cancer detection. …”
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  11. 11
    Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method

    Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method by Nor Haizan, Binti Jamali

    Published 2020
    “…In this research, Total Variation (TV) regularization method was incorporated with the Forward-Backward Time-Stepping (FBTS) algorithm to deal with the ill-posedness of the inverse scattering problem in the time domain. …”
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  12. 12
    Enhanced variational iteration method using adomian polynomials for solving the chaotic lorenz system

    Enhanced variational iteration method using adomian polynomials for solving the chaotic lorenz system by Goh S.M., Mossa Al-Sawalha M., Noorani M.S.M., Hashim I.

    Published 2023
    “…The core of this algorithm is made by surrogating the nonlinear terms in the variational iteration method with Adomian polynomials. …”
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  13. 13
    A reliable algorithm of fourth–order boundary value problems using modified variational iteration method

    A reliable algorithm of fourth–order boundary value problems using modified variational iteration method by Rangkuti, Yulita Molliq, Mohd Salmi, Mohd Noorani, Prof. Dr., Rokiah @ Rozita, Ahmad, Dr.

    Published 2010
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  14. 14
    Variation over time of the Du Mortier Calibration algorithm for ground-based spectrometer.

    Variation over time of the Du Mortier Calibration algorithm for ground-based spectrometer. by Awang Bono, Duduku Krishnaiah, Mariani Rajin, Nancy J. Siambun

    Published 2016
    “…The purpose of this paper is to study the variation over time of the Du Mortier calibration algorithm used in a spectrometer for atmospheric condition measurement. …”
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  15. 15
    Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system

    Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system by Ali, Hazem I.

    Published 2010
    “…A method for robust controllers design using restricted structure controllers such as PID, Lag-Lead and deadbeat control algorithms is presented. …”
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  16. 16
    Image denoising using combined higher order non-convex total variation with overlapping group sparsity

    Image denoising using combined higher order non-convex total variation with overlapping group sparsity by Adam, Tarmizi, Paramesran, Raveendran

    Published 2019
    “…A comparative analysis of the proposed method with the overlapping group sparse total variation, the Lysaker, Lundervold and Tai model, the total generalized variation and the non-convex higher order total variation, was carried out for image denoising. …”
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  17. 17
    Frequency variations measurement techniques in power quality monitoring

    Frequency variations measurement techniques in power quality monitoring by Wood, Terence

    Published 2008
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  18. 18
    Hybrid Control of A Quadrotor System Carrying Suspended Payload With Parameter Variations

    Hybrid Control of A Quadrotor System Carrying Suspended Payload With Parameter Variations by Amalin Aisya binti Mohd Awi

    Published 2025
    thesis::master thesis
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  19. 19
    Amplitude independent versus amplitude dependent muscle activity detection algorithms: a comparative study

    Amplitude independent versus amplitude dependent muscle activity detection algorithms: a comparative study by Khalid Hameed, Husamuldeen, Wan Hasan, Wan Zuha, Shafie, Suhaidi, Ahmad, Siti Anom, Jaafar, Haslina

    Published 2020
    “…Therefore, the performance of the muscle activity detection algorithms should not be affected by the involuntary amplitude variations of the sEMG signal in order to achieve reliable control of robotic devices intended for disabled people.To accentuate the importance of the amplitude independent muscle activity detection methods over the amplitude dependent detection methods, a comparative study has been conducted in this paper between the performance of an amplitude independent muscle activity detection algorithm (FLA-MSE algorithm) and three amplitude dependent algorithms with respect to the detection capability of weak muscle activities and with respect to the immunity against false alarms. …”
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  20. 20
    Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter

    Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter by Nooralishahi, Parham, Loo, Chu Kiong, Shiung, Liew Wei

    Published 2019
    “…The results of three experiments demonstrate that our algorithm substantially outperforms all previous methods. …”
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