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  1. 1
    An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm

    An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm by Mr, Handrizal, Mr, Muhammad Zarlis, Noraziah, Ahmad, Abdalla, Ahmed N.

    Published 2012
    “…Graph colouring is a useful algorithm for channel allocation on wireless local area network (WLAN). …”
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  2. 2
    Computational comparison of major proposed methods for graph partitioning problem

    Computational comparison of major proposed methods for graph partitioning problem by Rais, H.M., Abed, S.A., Watada, J.

    Published 2019
    “…Thus, many research studies have focused on developing meta-heuristic algorithms to tackle the graph partitioning problem. …”
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  3. 3
    Laser simulator: a novel search graph-based path planning approach

    Laser simulator: a novel search graph-based path planning approach by Ali, Mohammed A. H., Musa, Mailah

    Published 2018
    “…A novel technique called laser simulator approach for visibility search graph-based path planning has been developed in this article to determine the optimum collision-free path in unknown environment. …”
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  4. 4
    Topological mapping and qualitative localization based on K-adjacent union clustering algorithm

    Topological mapping and qualitative localization based on K-adjacent union clustering algorithm by Karasfi, Babak

    Published 2012
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  5. 5
    Preliminary framework of topology control algorithm in WSN to achieve node's energy efficiency

    Preliminary framework of topology control algorithm in WSN to achieve node's energy efficiency by Shahabuddin, M.Z., Hasbullah, H., Aziz, I.A.

    Published 2016
    “…The algorithm works-out locally and dispenses full graph connectivity, and theoretically would be able to reduce WSN control overhead. …”
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  6. 6
    Development of mobile robot and localization system

    Development of mobile robot and localization system by Juhari, Khairul Anuar

    Published 2014
    “…Thus, the research involves designing an indoor mobile robot and creating algorithm for the mobile robot to localize. As such, the purpose of this thesis is to develop the localization of the mobile robot based on Extended Kalman Filter (EKF) method. …”
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  7. 7
    Aco-based feature selection algorithm for classification

    Aco-based feature selection algorithm for classification by Al-mazini, Hassan Fouad Abbas

    Published 2022
    “…An enhanced graph clustering ant colony optimisation (EGCACO) algorithm is proposed to solve the three (3) MGCACO algorithm problems. …”
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  8. 8
    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…Over the last decade, many algorithms have been developed to address this problem. …”
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  9. 9
    Implication of image processing algorithm in remote sensing and GIS applications

    Implication of image processing algorithm in remote sensing and GIS applications by Pathan, Mubeena, Jusoff, Kamaruzaman, Mohd Sood, Alias, Razali, Yaakob, Qureshi, Barkatullah

    Published 2011
    “…Greedy algorithms expresses as a simple solution algorithm that choose a local optimum solution at each step to achieve a global optimum. …”
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  10. 10
    A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem

    A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem by Lee, Lai Soon, Nazif, Habibeh

    Published 2009
    “…The OCGA is compared with other well known local search method namely dynamic length tabu search, randomised steepest descent method, and other variants of genetic algorithms using extensive data sets collected from the literatures. …”
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  11. 11
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  12. 12
    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots

    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

    Published 2022
    “…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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  13. 13
    Automated Examination Timetabling System (AETSys) / Ariff Md Ab Malik

    Automated Examination Timetabling System (AETSys) / Ariff Md Ab Malik by Md Ab Malik, Ariff, Haruddin, Hanitahaiza, Alwi, Anisah, Mohamed, Khainizam

    Published 2013
    “…This system has been developed based on a hybridization of local search-population based metaheuristic algorithms. …”
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  14. 14
    Characterisation of essential proteins in proteins interaction networks

    Characterisation of essential proteins in proteins interaction networks by Sakhinah Abu Bakar, Javid Taheri, Albert Y Zomaya

    Published 2013
    “…EP3NN uses degree centrality, closeness centrality, local assortativity and local clustering coefficient of each protein in the network for such predictions. …”
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  15. 15
    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment

    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment by Mahboob, K., Khursheed, S., Jameel, S.M., Uddin, V., Shukla, S., Pabani, J.K.

    Published 2022
    “…The visual quality of the de-noised medical image (PET) and correlation graph determines that the proposed algorithms outperform the conventional de-noising filter. …”
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  16. 16
    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment

    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment by Mahboob, K., Khursheed, S., Jameel, S.M., Uddin, V., Shukla, S., Pabani, J.K.

    Published 2022
    “…The visual quality of the de-noised medical image (PET) and correlation graph determines that the proposed algorithms outperform the conventional de-noising filter. …”
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  17. 17
    (E-Taste Apps) – visualization food taste descriptors

    (E-Taste Apps) – visualization food taste descriptors by Abd Latif, Noor Syazwani

    Published 2019
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  18. 18
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  19. 19
    Non-darcy newtonian liquid flow with internal heat generation using boundary conditions of the third kind of fully developed mixed convection in a vertical channel

    Non-darcy newtonian liquid flow with internal heat generation using boundary conditions of the third kind of fully developed mixed convection in a vertical channel by Nurul Asyiqin, Mat Yaman, Nur Asiah, Mohd Makhatar, Mohd Rijal, Ilias, Abdul Rahman, Mohd Kasim, Nurul Farahain, Mohammad

    Published 2023
    “…The generated numerical algorithms are programmed in MATLAB for velocity, temperature and the local Nusselt number analysis. …”
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  20. 20
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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