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  1. 1
    Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms

    Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms by Alswaitti, Mohammed Y. T.

    Published 2018
    “…Unfortunately, these algorithms suffer with several drawbacks such as the tendency to be trapped or stagnate into local optima and slow convergence rates. …”
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  2. 2
    Semiparametric binary model for clustered survival data

    Semiparametric binary model for clustered survival data by Arlin, Rifina, Ibrahim, Noor Akma, Arasan, Jayanthi, Abu Bakar, Mohd Rizam

    Published 2014
    “…We investigated the effects of the strength of cluster correlation and censoring rates on properties of the parameters estimate. …”
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  3. 3
    Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering

    Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering by Umelo, Nnamdi Henry, Noordin, Nor Kamariah, A. Rasid, Mohd Fadlee, Tan, Kim Geok, Hashim, Fazirulhisyam

    Published 2023
    “…In the initialization stage, the reader uses improved K-means clustering running concurrently with a tag counter algorithm to cluster tags into K groups using tags RN16 while the counter returns an accurate tag number estimate. …”
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  4. 4
    Clock Distribution Network Building Algorithm For Multiple Ips In System On A Chip

    Clock Distribution Network Building Algorithm For Multiple Ips In System On A Chip by Tan , Tze Liang

    Published 2017
    “…In this project, an algorithm is proposed and developed to build the global CDN that is used to distribute the clocks to all partitions in the SoC using the channels available between partitions. …”
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  5. 5
    Machine learning for mapping and forecasting poverty in North Sumatera: a datadriven approach

    Machine learning for mapping and forecasting poverty in North Sumatera: a datadriven approach by Marpaung, Faridawaty, Ramadhani, Fanny, Dinata, Dewan

    Published 2024
    “…The poverty mapping showed a significant inertia value decline in the third and fourth clusters of the elbow graph. The third cluster (0.313) was superior to the fourth cluster (0.244) in the silhouette index. …”
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  6. 6
    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
    “…The range will be adjusted and becomes narrower while ensuring the target keys are still within it as the process iterates until the keys have been found. The selfscalable selection algorithm uses dynamic range where the filter range is not preset and is determined by the algorithm itself based on the distribution and the values of the data in the global and local file. …”
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  7. 7
    Statistical fixed range multiple selection algorithm for peer-to-peer system

    Statistical fixed range multiple selection algorithm for peer-to-peer system by Kweh, Yeah Lun, Othman, Mohamed, Ahmad, Fatimah, Ibrahim, Hamidah

    Published 2010
    “…A global file with n keys is distributed evenly among p peers in the peer-to-peer network. …”
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  8. 8
    A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens

    A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens by Z. L., Chuan, A. A., Jemain, C-Y, Liong, N. A. M., Ghani, L. K., Tan

    Published 2017
    “…The proposed algorithm comprises Laplacian sharpening filter, clustering-based threshold selection, unweighted least square estimator, and segment a square ROI from the noisy images. …”
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  9. 9
    A non-blocking coordinated checkpointing algorithm for message-passing systems

    A non-blocking coordinated checkpointing algorithm for message-passing systems by Mansouri, Houssem, Aliouat, Makhlouf, Badache, Nadjib, Khan, Al Sakib Pathan

    Published 2015
    “…The processes synchronize their checkpointing activities so that a globally consistent set of checkpoints is always maintained in the system. …”
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  10. 10
    Static range multiple selection algorithm for peer-to-peer system

    Static range multiple selection algorithm for peer-to-peer system by Othman, Mohamed, Kweh, Yeah Lun, Ahmad, Fatimah, Ibrahim, Hamidah

    Published 2011
    “…A global file with n keys is distributed evenly among n peers in the peer-to-peer network. …”
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  11. 11
    Deriving global and local integrity rules for a distributed database

    Deriving global and local integrity rules for a distributed database by Ibrahim, Hamidah

    Published 2001
    “…Our technique referred to as the integrity test generation, derives global and local integrity rules has effectively reduced the cost of constraint checking in a distributed environment.…”
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  12. 12
    Text independent speaker identification using gaussian mixture model

    Text independent speaker identification using gaussian mixture model by Ting, Chee Ming, Shaikh Salleh, Sheikh Hussain, Tan, Tian Swee, Ariff, Ahmad Kamarul

    Published 2007
    “…For speaker model training, a fast re-estimation algorithm based on highest likelihood mixture clustering is introduced. …”
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  13. 13
    Distance vector-hop range-free location algorithm for wireless sensor network

    Distance vector-hop range-free location algorithm for wireless sensor network by Zazali, Azyyati Adiah

    Published 2015
    “…This has caused the tasks for each sensor node to be permanently fixed, thus causing the overall process of the localization algorithm to be complex. …”
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  14. 14
    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network

    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network by Zhong, X., Mohammadi, A., Premkumar, A.B., Asif, A.

    Published 2015
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  15. 15
    Cost-effective scheduling analysis through discrete event simulation for distributed systems

    Cost-effective scheduling analysis through discrete event simulation for distributed systems by Jalal, Siti Fajar, Hussin, Masnida, Muhammed, Abdullah, Latip, Rohaya

    Published 2015
    “…Large computing systems where globally distributed can be best characterized by their dynamic nature particularly in terms of resource provisioning and scheduling. …”
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  16. 16
    Big data storage for the modeling of historical time series solar irradiations

    Big data storage for the modeling of historical time series solar irradiations by Ali, A., Nor, N.M., Ibrahim, T., Romlie, M.F., Bingi, K.

    Published 2018
    “…© 2018, IGI Global.…”
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  17. 17
    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
    “…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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  18. 18
    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 initial pheromone value of each resource for each job is calculated based on the estimated transmission time and execution time of a given job.Resources with high pheromone value are selected to process the submitted jobs. 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 other ant based algorithm, in terms of resource utilization. …”
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  19. 19
    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems

    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

    Published 2005
    “…One problem when modeling frequency selective fading is that each cluster has to be assigned spatial parameters. Since the joint spatial and temporal characteristics are unknown, non-parametric channel estimation approaches are required in this case in order to estimate the channel parameter, which is the subject of the second part. …”
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  20. 20
    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery

    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum A., Malik A.S., Saad N.M., bin Abdullah M.F., Iqbal M., Rasheed W., Bin Ab Abdullah A.R., Hj Jaafar M.Y.

    Published 2023
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