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  1. 1
    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. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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  2. 2
    Batch mode heuristic approaches for efficient task scheduling in grid computing system

    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…Many algorithms have been implemented to solve the grid scheduling problem. …”
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    Thesis
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  3. 3
    Modified K-Nearest Neighborhood Algorithm For Optimal Selection Of Distribution Centre In The Disaster Relief Operation

    Modified K-Nearest Neighborhood Algorithm For Optimal Selection Of Distribution Centre In The Disaster Relief Operation by Siti Nabilah Basarang

    Published 2024
    thesis::master thesis
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  4. 4
    Optimal source substation location selection in radial distribution networks

    Optimal source substation location selection in radial distribution networks by Islam, Shah Jahirul, Mustafa, Mohd. Wazir, Ismail, Hasan

    Published 2004
    “…New computer algorithm has been developed to select the optimal location of source substation in radial distribution networks. …”
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  5. 5
    A fault syndromes simulator for random access memories

    A fault syndromes simulator for random access memories by Wan Hasan, Wan Zuha, Abdul Halim, Izhal, Mohd Sidek, Roslina, Othman, Masuri

    Published 2008
    “…The simulator allows a user through a GUI to select a March based test algorithm depending on the desired fault coverage and diagnostic resolution. …”
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  6. 6
    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data

    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data by Baba, Ishaq Abdullahi

    Published 2022
    “…However, in practice, high leverage points may lead to misleading results in solving variable selection problems. Therefore, a robust sure independence screening procedure based on the weighted correlation algorithm of MRFCH for high dimensional data is developed to address this problem. …”
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  7. 7
    Static and self-scalable filter range selection algorithms for peer-to-peer networks

    Static and self-scalable filter range selection algorithms for peer-to-peer networks by Kweh, Yeah Lun

    Published 2011
    “…Two multiple selection algorithm, which are known as “static filter range selection algorithm” and “self-scalable selection algorithm” are proposed. …”
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  8. 8
    Optimized placement, sizing, and selection of distributed generation using the salp swarm algorithm

    Optimized placement, sizing, and selection of distributed generation using the salp swarm algorithm by Mat Yasin, Zuhaila, Mohammad Noor, Siti Zaliha, Hassan, Elia Erwani, M. Shami, Tareq

    Published 2025
    “…The salp swarm algorithm (SSA) was introduced as a method for efficiently selecting the optimal location, size, and type of distributed generation (DG) in a distribution system. …”
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  9. 9
    Fault section detection and location on distribution network using analytical voltage sags database

    Fault section detection and location on distribution network using analytical voltage sags database by Khalid, A.R., Mokhlis, Hazlie, Li, H.

    Published 2006
    “…By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. …”
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  10. 10
    Fault location identification in power transmission networks: using novel nonintrusive fault-monitoring systems

    Fault location identification in power transmission networks: using novel nonintrusive fault-monitoring systems by Chang, Hsueh-Hsien, Yang, Chuan Choong, Lee, Wei-Jen

    Published 2021
    “…After the processes of feature selection, the fault-location indicator is recognized by the support vector machines (SVMs). …”
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  11. 11
    Development of mobile robot and localization system

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

    Published 2014
    “…Then, the same algorithms are put on the hardware and the experiment runs same as in simulations. …”
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  12. 12
    Simulation for dynamic patients scheduling based on many objective optimization and coordinator

    Simulation for dynamic patients scheduling based on many objective optimization and coordinator by Mahmed, Ali Nader, Mohd Nizam, Mohmad Kahar

    Published 2024
    “…Finally, the role of the coordinator is to select a subset of patients from the window and pass them to the optimization algorithm. …”
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  13. 13
    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

    Published 2009
    “…The results on the model selection again signify that our proposed robust bootstrap model selection method is more robust than the classical bootstrap model selection.…”
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  14. 14
    Performance Enhancement Of Artificial Bee Colony Optimization Algorithm

    Performance Enhancement Of Artificial Bee Colony Optimization Algorithm by Abro, Abdul Ghani

    Published 2013
    “…Artificial Bee Colony (ABC) algorithm is a recently proposed bio-inspired optimization algorithm, simulating foraging phenomenon of honeybees. …”
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  15. 15
    Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems

    Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems by Chang, Hsueh-Hsien, Yang, Chuan Choong, Lee, Wei-Jen

    Published 2020
    “…After the processes of feature selection, the fault location indicator is recognized by the support vector machines (SVMs). …”
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    Proceeding Paper
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  16. 16
    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment

    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Muzahid, Abu Jafar Md, Bhuiyan, Md Khairul Bashar, Saib, Md, Rahimi, Nick, Prottasha, Nusrat Jahan, Bairagi, Anupam Kumar

    Published 2024
    “…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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  17. 17
    RSSI Fingerprinting Approach for Location-Based Services

    RSSI Fingerprinting Approach for Location-Based Services by Abd Rashid, Mohd Juzaili

    Published 2006
    “…In order to performthis project, I will create a simulation whereby I will select one area probably my hostel house to study the problem of localization. …”
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    Final Year Project
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  18. 18
    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data

    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data by Rostami, Mohammad

    Published 2016
    “…Here, we have exhaustedly studied all the possible priors for location and scale parameters and come out with a few suggestions for the prior selection of a Gumbel model. …”
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  19. 19
    Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index

    Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index by Verayiah R., Mohamed A., Shareef H., Abidin I.H.Z.

    Published 2023
    Conference Paper
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  20. 20
    Investigation of impedance-based fault location techniques in power system network / Tan Feng Jie

    Investigation of impedance-based fault location techniques in power system network / Tan Feng Jie by Tan, Feng Jie

    Published 2019
    “…The simulated voltage and current waveforms are applied to the algorithms of 4 fault locations methods to compute the estimated fault distance. …”
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