Search Results - (( development under visualisation algorithm ) OR ( java loading optimization algorithm ))

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  1. 1
    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
    “…This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. …”
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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
    “…This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system. …”
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  3. 3
    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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  4. 4
    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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  5. 5
    Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization

    Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization by Nanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, Sazzli Kasim

    Published 2021
    “…The Self-Organising Feature Map (SOM) was used to visualise mortality-related factors post-ACS. The performance of ML models using the area under the curve (AUC) ranged from 0.48 to 0.80. …”
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  6. 6
    Representation of half wing of butterfly and hamiltonian circuit for complete graph using starter set method

    Representation of half wing of butterfly and hamiltonian circuit for complete graph using starter set method by Karim, Sharmila, Ibrahim, Haslinda, Mohd Darus, Maizon

    Published 2019
    “…The advantage of HBM is a visualisation of half wing of butterfly. Inspired by this research, a new idea come out with the generating half wing of butterfly and distinct Hamiltonian circuit via. starter sets method under exchanged strategy. …”
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  7. 7
    Extracting Object Oriented Software Architecture from C++ Source Code

    Extracting Object Oriented Software Architecture from C++ Source Code by Mresa, Ali Hussein A.

    Published 2000
    “…This research presents a reverse engineering tool VOO++ that will read an Object- Oriented C++ source code using UML notation in order to visualise its Class structure and the various relationships that may exist including, inheritance, aggregation, and dependency relationships based on the modified Cohen-Sutherland clipping algorithm. …”
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