Search Results - ((minimax algorithm) OR (means algorithm))

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  1. 1
    Sensor node placement based on minimax for effective surveillance

    Sensor node placement based on minimax for effective surveillance by Abidin H.Z., Din N.M.

    Published 2023
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  2. 2
    Application of minimax algorithm in dots and boxes game

    Application of minimax algorithm in dots and boxes game by Tan, Ah Hwa

    Published 2025
    “…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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  3. 3
    Sensor node placement based on lexicographic minimax

    Sensor node placement based on lexicographic minimax by Abidin H.Z., Din N.Md.

    Published 2023
    “…This paper proposed a sensor nodes placement technique which is based on the lexicographic minimax algorithm. Performance study has been carried out by comparing the performance of the lexicographic minimax sensor node placement scheme with traditional minimax technique in terms of coverage ratio and uniformity. …”
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  4. 4
    Application of a primal-dual interior point algorithm using exact second order information with a novel non-monotone line search method to generally constrained minimax optimization problems

    Application of a primal-dual interior point algorithm using exact second order information with a novel non-monotone line search method to generally constrained minimax optimization problems by Ahamad, Intan Salwani, Vassiliadis, Vassilios S.

    Published 2008
    “…This work presents the application of a primal-dual interior point method to minimax optimisation problems. The algorithm differs significantly from previous approaches as it involves a novel non-monotone line search procedure, which is based on the use of standard penalty methods as the merit function used for line search. …”
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  5. 5
    Investigate the transcendent adapted of wavelet threshold algorithms for elbow movement by surface EMG signal

    Investigate the transcendent adapted of wavelet threshold algorithms for elbow movement by surface EMG signal by Ghapanchizadeh, Hossein, Ahmad, Siti Anom, Ishak, Asnor Juraiza

    Published 2014
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    Conference or Workshop Item
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  6. 6
    Knowledge-based system developement for the game congkak / Syah Ali Reza Yaacob

    Knowledge-based system developement for the game congkak / Syah Ali Reza Yaacob by Yaacob, Syah Ali Reza

    Published 2006
    “…The agent will use Minimax and α-β pruning as the search algorithms. …”
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  7. 7
    Provisioning WSN coverage via minimax based sensor node placement scheme

    Provisioning WSN coverage via minimax based sensor node placement scheme by Zainol Abidin H., Md Din N.

    Published 2023
    “…A Sensor node placement technique which is based on the minimax algorithm is proposed where surveillance locations will be monitored by the closest sensor nodes. …”
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  8. 8
    Applications of wavelet method in stock exchange problem

    Applications of wavelet method in stock exchange problem by Samsul Ariffin Abdul Karim, Bakri Abdul Karim, Mohd Tahir Ismail, Mohammad Khatim Hasan, Jumat Sulaiman

    Published 2011
    “…We apply various thresholding approachs e.g., Heuristic SURE, SURE, Minimax and FixedForm method. Numerical result show that Minimax and fixed form method gives the better result.…”
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  9. 9
    Applications of Wavelet Method in Stock Exchange Problem

    Applications of Wavelet Method in Stock Exchange Problem by ABDUL KARIM, SAMSUL ARIFFIN, ABDUL KARIM, BAKRI, ISMAIL, M TAHIR, HASAN, M KHATIM, SULAIMAN, JUMAT

    Published 2010
    “…We apply various thresholding approachs e.g., Heuristic SURE, SURE, Minimax and Fixed- Form method. Numerical result show that Minimax and fixed form method gives the better result.…”
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  10. 10
    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. The EMD algorithm is employed to decompose the nonstationary and nonlinear time series dataset into a finite set of orthogonal decomposition components, which includes a set of intrinsic mode function and residual components. …”
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  11. 11
    Denoising the temperature data using wavelet transform

    Denoising the temperature data using wavelet transform by Samsul Ariffin Abdul Karim, Mohd Tahir Ismail, Mohammad Khatim Hasan, Jumat Sulaiman

    Published 2013
    “…One of the advantages of wavelets method is there exist fast algorithm in order to use wavelet for various applications. …”
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  12. 12
    Denoising the temperature data using wavelet transform

    Denoising the temperature data using wavelet transform by Karim, S.A.A., Ismail, M.T., Hasan, M.K., Sulaiman, J.

    Published 2013
    “…One of the advantages of wavelets method is there exist fast algorithm in order to use wavelet for various applications. …”
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  13. 13
    Improved clustering using robust and classical principal component

    Improved clustering using robust and classical principal component by Hassn, Ahmed Kadom

    Published 2017
    “…The classical k-means algorithm and the k-means by PCA algorithm are very sensitive to the presence of outlier. …”
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  14. 14
    A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

    A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

    Published 2022
    “…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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  15. 15
    A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

    A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

    Published 2022
    “…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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  16. 16
    A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

    A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

    Published 2023
    “…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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  17. 17
    Optimized clustering with modified K-means algorithm

    Optimized clustering with modified K-means algorithm by Alibuhtto, Mohamed Cassim

    Published 2021
    “…Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of clusters (k). …”
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  18. 18
    Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster

    Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster by Wan Maseri, Wan Mohd, Beg, Abul Hashem, Tutut, Herawan, K., F.Rabbi

    “…K-Means is one of the unsupervised learning and partitioning clustering algorithms. …”
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  19. 19
    Efficient genetic partitioning-around-medoid algorithm for clustering

    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…These algorithms mostly built upon the partitioning k-means clustering algorithm. …”
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  20. 20
    MaxD K-Means: A clustering algorithm for auto-generation of centroids and distance of data points in clusters

    MaxD K-Means: A clustering algorithm for auto-generation of centroids and distance of data points in clusters by Wan Maseri, Wan Mohd, Beg, Abul Hashem, Herawan, Tutut, Fazley Rabbi, Khandakar

    Published 2012
    “…K-Means is one of the unsupervised learning and partitioning clustering algorithms. …”
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