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  1. 1
    A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering

    A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering by Prasetyadi, Abdurrakhman, Nugroho, Budi, Tohari, Adrin

    Published 2022
    “…Therefore, the proposed hybrid algorithm can provide relatively homogeneous clustering results in natural disaster mitigation.…”
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  2. 2
    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices

    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
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  3. 3
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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  4. 4
    Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours

    Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours by Kalid Abdlkader Marsal Salih

    Published 2024
    “…Thus, this research proposes enhancement on clustering algorithm to mitigate the impact of correlated node behaviour on network performances. …”
    thesis::doctoral thesis
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  5. 5
    Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices

    Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices by Rahman, Md. Arafatur, Nafees, Zaman, A. Taufiq, Asyhari, Al-Turjman, Fadi, Alam Bhuiyan, Md. Zakirul, Mohamad Fadli, Zolkipli

    Published 2020
    “…We then validate the proposed algorithms by conducting extensive simulations using the Malaysian context as a case study. …”
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  6. 6
    Route Optimization System

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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  7. 7
    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
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  8. 8
    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
    “…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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  9. 9
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
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    Monograph
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  10. 10
    An efficient up-link load reduction model based on clustering in vanets

    An efficient up-link load reduction model based on clustering in vanets by Abbas Al-Sallami, Ali Hashim

    Published 2019
    “…This study proposed an Efficient Up-link Load Reduction (EULR) model to mitigate the uplink load at BSs. EULR model consisted of three parts: the first part, two novel algorithms Smart CH Election (SCHE) and Hybrid Cluster-Head Election (HCHE) to increase cluster stability and reduce the number of CHs changes in the network by selecting the best vehicle as cluster head (CH) based on two dynamic thresholds. …”
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  11. 11
    Data redundancy reduction scheme for data aggregation in wireless sensor network

    Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

    Published 2020
    “…Therefore, several studies have employed some schemes to reduce data redundancy in the clustered network before data aggregation to mitigate the problems that affects the data aggregation efficiency. …”
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  12. 12
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
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  13. 13
    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT

    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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  14. 14
    Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj

    Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj by Bryan Raj , Peter Jabaraj

    Published 2023
    “…Moreover, two improvised clustering techniques are introduced to reduce the energy overhead cost from the re-clustering process. …”
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  15. 15
    Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite

    Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite by Suali, Anjila J., Nuraminah Ramli, Rozmie Razif Othman, Hasneeza Liza Zakaria, Iszaidy Ismail, Nor Shahida Mohd Jamail, Rimuljo Hendradi, Nurol Husna Che Rose

    Published 2025
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  16. 16
    An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication

    An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication by Ahmed Mohamed, Ahmed Haidar, Adila, Fakhar, Muttaqi, Kashem M

    Published 2019
    “…This paper proposes an effective power dispatch strategy for clustered micro-grids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. …”
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  17. 17
    An Effective Power Dispatch Strategy for Clustered Microgrids While Implementing Optimal Energy Management and Power Sharing Control Using Power Line Communication

    An Effective Power Dispatch Strategy for Clustered Microgrids While Implementing Optimal Energy Management and Power Sharing Control Using Power Line Communication by Ahmed Mohamed, Ahmed Haidar, Adila, Fakhar, Kashem M., Muttaqi

    Published 2020
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  18. 18
    Detecting lung cancer region from CT image using meta-heuristic optimized segmentation approach

    Detecting lung cancer region from CT image using meta-heuristic optimized segmentation approach by Shakeel, Pethuraj Mohamed, Mohd Aboobaider, Burhanuddin, Salahuddin, Lizawati

    Published 2022
    “…In this paper, the butterfly optimization algorithm-based K-means clustering (BOAKMC) method is introduced for reducing CT image segmentation uncertainty. …”
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  19. 19
    Examination timetabling using genetic algorithm case study: KUiTTHO

    Examination timetabling using genetic algorithm case study: KUiTTHO by Mohd Salikon, Mohd Zaki

    Published 2005
    “…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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  20. 20
    Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO

    Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO by Mohd. Zaki, Mohd. Salikon

    Published 2005
    “…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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