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  1. 1
    Image clustering comparison of two color segmentation techniques

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

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Enhanced convergence of Bat Algorithm based on dimensional and inertia weight factor

    Enhanced convergence of Bat Algorithm based on dimensional and inertia weight factor by Ramli, Mohamad Raziff, Abal Abas, Zuraida, Desa, Mohammad Ishak, Zainal Abidin, Zaheera, Al Azzam, Malik Bader Hasan

    Published 2019
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  4. 4
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  5. 5
    Voting algorithms for large scale fault-tolerant systems

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…Among basic voting algorithms, average voter and weighted average voter have higher availability but unfortunately they have higher time and calculation complexity in large scale systems. …”
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  6. 6
    Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty

    Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty by Ali, Hazem Ibrahim, Mohd Noor, Samsul Bahari, Bashi, Sinan Mahmod, Marhaban, Mohammad Hamiruce

    Published 2011
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  7. 7
    Group consumers' preference recommendation algorithm model for online apparel's colour based on Kansei engineering

    Group consumers' preference recommendation algorithm model for online apparel's colour based on Kansei engineering by Ge, Baoru, Shaari, Nazlina, Mohd Yunos, Mohd Yazid, Zainal Abidin, Sazrinee

    Published 2023
    “…Thus, this study took the colour design of men's plain-colour shirts as an example in China, established the basic colour calculation scale and an algorithm model of group consumers' product preferences based on Kansei Engineering and scientific mathematics, to provide new sales ideas and methods for retailers and markets online. …”
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  8. 8
    Fuzzy algorithm for 3D coastal gemorphology mapping by DInSAR

    Fuzzy algorithm for 3D coastal gemorphology mapping by DInSAR by Marghany, Maged, Hashim, Mazlan

    Published 2007
    “…The basic concept of fuzzy algorithm was used to filter DInSAR data. …”
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  9. 9
    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System

    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System by Ali, Mohammed Hasan, Mohamed Fadli, Zolkipli

    Published 2019
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  10. 10
    Robust correlation feature selection based support vector machine approach for high dimensional datasets

    Robust correlation feature selection based support vector machine approach for high dimensional datasets by Baba, Ishaq Abdullahi, Mohammed, Mohammed Bappah, Jillahi, Kamal Bakari, Umar, Aliyu, Hendi, Hasan Talib

    Published 2025
    “…Our method consists of three basic steps. In the first step, a weights-based modified reweighted fast, consistent, and high break-down point is computed. …”
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  11. 11
    Power System State Estimation In Large-Scale Networks

    Power System State Estimation In Large-Scale Networks by NURSYARIZAL MOHD NOR, NURSYARIZAL

    Published 2010
    “…The gain and the Jacobian matrices associated with the basic algorithm require large storage and have to be evaluated at every iteration, resulting in more computation time. …”
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  12. 12
    A hybrid range-free algorithm using dynamic communication range for wireless sensor networks

    A hybrid range-free algorithm using dynamic communication range for wireless sensor networks by Fengrong, Han, Izzeldin Ibrahim, Mohamed Abdelaziz, Xinni, Liu, Kamarul Hawari, Ghazali, Hao, Wang

    Published 2020
    “…Thereafter, we employed centroid algorithm to calculate target node coordinate based on hop threshold. …”
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  13. 13
    A Weighted-Based Approach To Prioritize User Preferences In Information Retrieval

    A Weighted-Based Approach To Prioritize User Preferences In Information Retrieval by Al-Qudah, Mashal Kasem

    Published 2008
    “…The critical idea carried out by a weighted based algorithm is that, when one attributes links to another, it is basically casting a vote for the other attribute. …”
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  14. 14
    Interval-valued fuzzy soft topology and its applications in group decision-making problems

    Interval-valued fuzzy soft topology and its applications in group decision-making problems by Altwer, Mabruka Ali Juma

    Published 2022
    “…In the literature, there are various interval-valued fuzzy soft set-based decision-making algorithms. However, these algorithms are unable to overcome the issue of comparable alternatives, and as a result, they might well be ignored due to a lack of a comprehensive model. …”
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  15. 15
    Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation

    Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation by Toha, Siti Fauziah, Abd Latiff, I., Mohamad, M., Tokhi, M Osman

    Published 2009
    “…The proposed method formulates a modified inertia weight algorithm by using a dynamic spread factor (SF). …”
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  16. 16
    A hybrid particle swarm optimization - extreme learning machine approach for intrusion detection system

    A hybrid particle swarm optimization - extreme learning machine approach for intrusion detection system by M.H., Ali, Mohamad, Fadlizolkipi, Ahmad Firdaus, Zainal Abidin, Nik Zulkarnaen, Khidzir

    Published 2018
    “…However, the internal power parameters (weight and basis) of ELM are initialized at random, causing the algorithm to be unstable. …”
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  17. 17
    Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems

    Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems by Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir

    Published 2022
    “…Gradient-based Mutation MRFO (GbM-MRFO) is derived from basic strategy of MRFO and synergized with the Gradient-based Mutation strategy. …”
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  18. 18
    The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman

    The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman by Abdul Rahman, Hayati

    Published 2006
    “…This research is to develop a prototype for indexing algorithm considering tag weighting for the XML document and also to test the indexer with the existing document. …”
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  19. 19
    The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman

    The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman by Abd Rahman, Hayati

    Published 2006
    “…This research is to develop a prototype for indexing algorithm considering tag weighting for the XML document and also to test the indexer with the existing document. …”
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  20. 20
    Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim

    Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim by Ibrahim, Erman

    Published 2007
    “…The useful information will be fed to the ANN whereby the BP training algorithm will be performed in order to extract the knowledge of the image that is the final weight. …”
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