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  1. 1
    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
    “…The simulation is implemented with iFogSim and java programming language. …”
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  2. 2
    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
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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  3. 3
    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
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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    Monograph
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  4. 4
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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  5. 5
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  6. 6
    Implementing frequency translation by adapting digital phase shifter for WCDMA using XILINX: article

    Implementing frequency translation by adapting digital phase shifter for WCDMA using XILINX: article by Zakaria, Mohd Khalili

    Published 2009
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  7. 7
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  8. 8
    Three-phase three-level shunt active power filter with simplified synchronous reference frame

    Three-phase three-level shunt active power filter with simplified synchronous reference frame by Hoon, Yap, Mohd Radzi, Mohd Amran, Hassan, Mohd Khair, Mailah, Nashiren Farzilah

    Published 2016
    “…Shunt active power filter (SAPF) is the most effective solution to current harmonics. In its controller, Synchronous Reference Frame (SRF) principle has widely been applied in current harmonics extraction algorithm due to its simple implementation features. …”
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  9. 9
    Implementation frequency translation by adapting digital phase shifter for WCDMA using XILINX

    Implementation frequency translation by adapting digital phase shifter for WCDMA using XILINX by Zakaria, Mohd Khalili

    Published 2009
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  10. 10
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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  11. 11
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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  12. 12
    Rabbit breed classification using CNN / Aishah Nabila Mohd Zaid

    Rabbit breed classification using CNN / Aishah Nabila Mohd Zaid by Mohd Zaid, Aishah Nabila

    Published 2024
    “…The design and implementation phase focus on prototype development, while the evaluation phase assesses classification performance. …”
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  13. 13
    THREE-PHASE INDUCTION MOTOR SPEED CONTROL USING IGBTs AND PULSE WIDTH MODULATION TECHNIQUE

    THREE-PHASE INDUCTION MOTOR SPEED CONTROL USING IGBTs AND PULSE WIDTH MODULATION TECHNIQUE by MOHD NOR, MOHD HAKIM

    Published 2009
    “…This project also meets its objective to designed control algorithm using Matlab/Simulink that can be used to control the speed of three-phase induction motor. …”
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    Final Year Project
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  14. 14
    Evoluation strategy for collaborative beamforming in wireless sensor networks

    Evoluation strategy for collaborative beamforming in wireless sensor networks by Wong, Chen How

    Published 2013
    “…By implementing ES in phase synchronisation, each sensor node independently adjusts its phase perturbation size accordingly to speed up the phase synchronisation. …”
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  15. 15
    Evolution strategy for collaborative beamforming in wireless sensor networks

    Evolution strategy for collaborative beamforming in wireless sensor networks by Wong, Chen How

    Published 2013
    “…By implementing ES in phase synchronisation, each sensor node independently adjusts its phase perturbation size accordingly to speed up the phase synchronisation. …”
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  16. 16
    Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber

    Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber by Zuber, Ammar

    Published 2019
    “…This project is developed by using Waterfall Model methodology as it’s the most direct model that is suitable for developing a system which consist of 5 phases which are Requirement Analysis, Design, Implementation, Testing and Maintenance. …”
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  17. 17
    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim

    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim by Razali, Azli Amirul Ehsan, Halim, Faiqah Hafidzah

    Published 2022
    “…These phases are Requirement Gathering and Analysis Phase, Design Phase, and Implementation Phase. …”
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  18. 18
    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim

    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim by Razali, Azli Amirul Ehsan, Halim, Faiqah Hafidzah

    Published 2022
    “…These phases are Requirement Gathering and Analysis Phase, Design Phase, and Implementation Phase. …”
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  19. 19
    Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment

    Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment by Aminu Abdulkadir, Mahmoud, M. Zarina, ., Wan Nor Shuhadah, Wan Nik, Fadhilah, Ahmad

    Published 2015
    “…Meanwhile in the second phase genetic algorithm is implemented for resource load balancing. …”
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  20. 20
    Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment (Article)

    Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment (Article) by Zarina, Mohamad, Wan Nor Shuhadah, Wan Nik, Fadhilah, Ahmad

    Published 2015
    “…Meanwhile in the second phase genetic algorithm is implemented for resource load balancing. …”
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