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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
    Model order reduction method based on improved sine cosine algorithm

    Model order reduction method based on improved sine cosine algorithm by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mohd Riduwan, Ghazali

    Published 2023
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  3. 3
    Loss reduction in distribution networks using new network reconfiguration algorithm

    Loss reduction in distribution networks using new network reconfiguration algorithm by Kashem, M.A., Moghavvemi, M., Mohamed, A., Jasmon, G.B.

    Published 1996
    “…Therefore, the solution algorithm of the proposed method can identify the most effective branch exchange operations for loss reduction, with a minimum computational efforts. …”
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  4. 4
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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  5. 5
    A new soft set based pruning algorithm for ensemble method

    A new soft set based pruning algorithm for ensemble method by Mohd Khalid, Awang, Mohd Nordin, Abdul Rahman, Mokhairi, Makhtar

    Published 2016
    “…However, only a few researches focused on the ensemble pruning algorithm. Therefore, this paper aims to increase classification accuracy and at the same time minimizing ensemble classifiers by constructing a new ensemble pruning method (SSPM) based on dimensionality reduction in soft set theory. …”
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  6. 6
    Imposed weighting factor optimization method for torque ripple reduction of IM fed by indirect matrix converter with predictive control algorithm

    Imposed weighting factor optimization method for torque ripple reduction of IM fed by indirect matrix converter with predictive control algorithm by Uddin, M., Mekhilef, Saad, Rivera, M., Rodriguez, J.

    Published 2015
    “…This paper proposes a weighting factor optimization method in predictive control algorithm for torque ripple reduction in an induction motor fed by an indirect matrix converter (IMC). …”
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  7. 7
    Active intelligent control of vibration of flexible plate structures

    Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

    Published 2011
    “…It is demonstrated that the non-model based AVC algorithms perform comparatively similar to their model-based AVC counterparts in terms of amount of vibration reduction. …”
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  8. 8
    Loss reduction in distribution networks by network reconfiguration: a two stage solution approach

    Loss reduction in distribution networks by network reconfiguration: a two stage solution approach by Nallagownden, Perumal

    Published 2004
    “…Therefore, the solution algorithm of the proposed method can identify the most effective branch exchange operations for loss reduction, with minimum computational efforts. …”
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  9. 9
    Real time nonlinear filtered-x lms algorithm for active noise control

    Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

    Published 2012
    “…In the nonlinear ANC literature, various nonlinear algorithms have been introduced. These nonlinear algorithms were employed to improve noise reduction performance. …”
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  10. 10
    Network reconfiguration for loss reduction with distributed generations using PSO

    Network reconfiguration for loss reduction with distributed generations using PSO by Dahalan, W.M., Mokhlis, Hazlie

    Published 2012
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  11. 11
    Real-time time series error-based data reduction for internet-of-things applications

    Real-time time series error-based data reduction for internet-of-things applications by Wong, Siaw Ling

    Published 2018
    “…There are many time series data reduction methods, ranging from primitive data aggregation such as Rate of Change to sophisticated compression algorithms. …”
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  12. 12
    PAPR Reduction Using Genetic Algorithm (GA) In OFDM System

    PAPR Reduction Using Genetic Algorithm (GA) In OFDM System by Mohd Ramdan, Fatin Najwa Nursyadza

    Published 2018
    “…In order to reduce the PAPR performance in OFDM system, many reduction technique are explored. In this thesis, a Genetic algorithm (GA) technique is proposed. …”
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  13. 13
    Bat algorithm for rough set attribute reduction

    Bat algorithm for rough set attribute reduction by Taha A.M., Tang A.Y.C.

    Published 2023
    “…In this paper, a new optimization method has been introduced called bat algorithm for attribute reduction (BAAR), the proposed method is based mainly on the echolocation behavior of bats. …”
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  14. 14
    Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO

    Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO by Sharifah Sakinah, Syed Ahmad

    Published 2014
    “…The reduction method contains two techniques, namely features reduction and data reduction which are commonly applied to a classification problem. …”
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  15. 15
    A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction

    A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction by Mohd Helmi, Suid, Mohd Ashraf, Ahmad

    Published 2023
    “…The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. …”
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  16. 16
    Network reconfiguration and control for loss reduction using genetic algorithm

    Network reconfiguration and control for loss reduction using genetic algorithm by Jawad, Mohamed Hassan Izzaldeen

    Published 2010
    “…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
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  17. 17
    Microcrack Detection And Noise Reduction In Integrated Circuit Packages

    Microcrack Detection And Noise Reduction In Integrated Circuit Packages by Koh, Ye Sheng

    Published 2018
    “…Three algorithms are tested and evaluated in terms of microcrack detection and noise reduction which are probability based thresholding, histogram equalization, and modified Perona-Malik’s anisotropic diffusion methods. …”
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  18. 18
    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction

    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction by Alkawsi G., Al-amri R., Baashar Y., Ghorashi S., Alabdulkreem E., Kiong Tiong S.

    Published 2024
    “…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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  19. 19
    New Parameter Reduction of Soft Sets

    New Parameter Reduction of Soft Sets by Ma, Xiuqin

    Published 2012
    “…However, the algorithm involves a great amount of computation. In this thesis, a New Efficient Normal Parameter Reduction algorithm (NENPR) of soft sets is proposed based on the new theorems, which have been proved and presented. …”
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  20. 20
    A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction

    A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction by Mohd Helmi, Suid, Mohd Ashraf, Ahmad

    Published 2023
    “…The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. …”
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