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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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    Thesis
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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
    THREE-PHASE INDUCTION MOTOR SPEED CONTROL USING IGBTs AND PULSE WIDTH MODULATION TECHNIQUE

    THREE-PHASE INDUCTION MOTOR SPEED CONTROL USING IGBTs AND PULSE WIDTH MODULATION TECHNIQUE by MOHD NOR, MOHD HAKIM

    Published 2009
    “…This project also aims to develop PWM control algorithm to control the speed of the three-phase induction motor. …”
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    Final Year Project
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  8. 8
    A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia

    A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia by Mohd Zabid, M. Faeid

    Published 2018
    “…These five policy variables were tested in three scenarios: year 2017, year 2020, and in phases until 2050. …”
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  9. 9
    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]

    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.] by Ismail, Razidah, Ahmad, Tahir, Harish, Noor Ainy, A. Halim, Rosenah

    Published 2011
    “…In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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    Research Reports
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  10. 10
    Dynamics and predictive control of gas phase propylene polymerization in fluidized bed reactors

    Dynamics and predictive control of gas phase propylene polymerization in fluidized bed reactors by Shamiri, A., Hussain, M.A., Mjalli, F.S., Mostoutfi, N., Hajimolana, S.

    Published 2013
    “…The open loop analysis revealed the nonlinear behavior of the polypropylene fluidized bed reactor, justifying the use of an advanced control algorithm for efficient control of the process variables. …”
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  11. 11
    Dynamics and predictive control of gas phase propylene polymerization in fluidized bed reactors

    Dynamics and predictive control of gas phase propylene polymerization in fluidized bed reactors by Shamiri, A., Hussain, Mohd Azlan, Mjalli, F.S., Mostoufi, N., Hajimolana, S.

    Published 2013
    “…The open loop analysis revealed the nonlinear behavior of the polypropylene fluidized bed reactor, justifying the use of an advanced control algorithm for efficient control of the process variables. …”
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  12. 12
    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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  13. 13
    Simple realization of 5-Segment discontinuous SVPWM based on FPGA

    Simple realization of 5-Segment discontinuous SVPWM based on FPGA by Sutikno, Tole, Jidin, Auzani, Basar, Mohd Farriz

    Published 2010
    “…The Space Vector Pulse Width Modulation (SVPWM) is possibly the best among all the PWM techniques for variable frequency drive applications. Unfortunately, the modulation algorithm is mainly implemented with software based on microcontroller or digital signal processors (DSP). …”
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  14. 14
    Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm

    Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm by Chong, Kok Hen

    Published 2008
    “…Further more, a prototype hardware has been designed and constructed to test the success chromosome string, which called as GA based Logic Implementer (GALI). GALI is programmed by the success chromosome bits obtained from the simulation phase. …”
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  15. 15
    Design and implementation of a single-phase to three-phase space-vector pwm-based matrix converter system for induction motor drives

    Design and implementation of a single-phase to three-phase space-vector pwm-based matrix converter system for induction motor drives by Velu, Vengadeshwaran

    Published 2016
    “…A novel approach is adopted by employing the Space Vector Pulse Width modulation algorithm to produce the switching sequences of the bidirectional switches of the single-phase to three-phase Matrix Converter. …”
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  16. 16
    Development of committee machine models for multiple response optimization problems

    Development of committee machine models for multiple response optimization problems by Golestaneh, Seyed Jafar

    Published 2014
    “…Multiple response optimization (MRO) problems need to optimize several response variables simultaneously. Three phases are considered to solve MRO problems and they include design of experiments, modeling, and optimization. …”
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  17. 17
    Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification

    Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification by Myaser, Jwan

    Published 2020
    “…Nevertheless, AC is not required for LCM if the original multi-spectral image is used. The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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  18. 18
    A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive

    A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive by ARROFIQ, MUHAMMAD

    Published 2010
    “…This thesis proposed a design and implementation of a PLC-based hybrid controller from a basic PLC to a PWM-driven variable-voltage variable-frequency (VVVF) speed control of an induction motor and the analysis, evaluation and improvement of the control strategies. …”
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  19. 19
    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network

    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

    Published 2021
    “…As for the implementation of MPCA in feature extraction for BOD and COD, there were only 4 inputs required to explain at least 99.999% variability for both analyses. …”
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    Monograph
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  20. 20
    A case study on quality of sleep and health using Bayesian networks

    A case study on quality of sleep and health using Bayesian networks by Hong , Choon Ong, Chiew , Seng Lee, Chye , Ching Sia

    Published 2012
    “…A structural learning is conducted on the data to learn the correct network structure. There are several phases involved including implementation of the learning algorithms, integration of prior knowledge through the whitelist argument and arc setting to form directed acyclic graphs. …”
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