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  1. 1
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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  2. 2
    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
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  3. 3
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  4. 4
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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  5. 5
    Improving the tool for analyzing Malaysia’s demographic change: data standardization analysis to form geo-demographics classification profiles using k-means algorithms

    Improving the tool for analyzing Malaysia’s demographic change: data standardization analysis to form geo-demographics classification profiles using k-means algorithms by Kamarul Ismail, Nasir Nayan, Siti Naielah Ibrahim

    Published 2016
    “…Clustering is one of the important methods in data exploratory in this era because it is widely applied in data mining.Clustering of data is necessary to produce geo-demographic classification where k-means algorithm is used as cluster algorithm. K-means is one of the methods commonly used in cluster algorithm because it is more significant. …”
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  6. 6
    A Modified LRE-TL Real-Time Multiprocessor Scheduling Algorithm

    A Modified LRE-TL Real-Time Multiprocessor Scheduling Algorithm by Alhussian, Hitham, Zakaria, Mohd Nordin, Hussin, Fawnizu Azmadi, Bahbouh, Hussein T

    Published 2013
    “…We have conducted an independent-samples t test to compare tasks migration using the original LRE-TL algorithm and the modified algorithm. …”
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  7. 7
    Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt

    Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Akhtar, M.N., Ahmed, W., Kakar, M.R., Bakar, E.A., Othman, A.R., Bueno, M.

    Published 2020
    “…The results showed that the PKIP algorithm decreases the execution time up to 30 to 46 if compared with the sequential k means algorithm when implemented using multiprocessing and distributed computing. …”
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  8. 8
    A modified LRE-TL real-time multiprocessor scheduling algorithm

    A modified LRE-TL real-time multiprocessor scheduling algorithm by Alhussian, H., Zakaria, N., Hussin, F.A., Bahbouh, H.T.

    Published 2014
    “…We have conducted an independent-samples t-test to compare tasks migration using the original LRE-TL algorithm and the modified algorithm. …”
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  9. 9
    Checkpointing in selected most fitted resource task scheduling in grid computing

    Checkpointing in selected most fitted resource task scheduling in grid computing by Latip, Rohaya, Lew, Wai San, Chanchary, Fara Habib

    Published 2012
    “…Results show that with MeanFailureCP-SMF has reduce the average execution time (AET) compare to the current SMF and MeanFailure Algorithm.…”
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  10. 10
    Extraction of photovoltaic module model's parameters using an improved hybrid differential evolution/electromagnetism-like algorithm

    Extraction of photovoltaic module model's parameters using an improved hybrid differential evolution/electromagnetism-like algorithm by Muhsen D.H., Ghazali A.B., Khatib T., Abed I.A.

    Published 2023
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  11. 11
    Replica Creation Algorithm for Data Grids

    Replica Creation Algorithm for Data Grids by Madi, Mohammed Kamel

    Published 2012
    “…The new Data Replica Creation Algorithm (DRCM) improves performance of data grid systems by reducing job execution time and making the best use of data grid resources (network bandwidth and storage space). …”
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  12. 12
    Efficient genetic partitioning-around-medoid algorithm for clustering

    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…These algorithms mostly built upon the partitioning k-means clustering algorithm. …”
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  13. 13
    Minimizing Scheduling Overhead In LRE-TL Real-Time Multiprocessor Scheduling Algorithm

    Minimizing Scheduling Overhead In LRE-TL Real-Time Multiprocessor Scheduling Algorithm by Alhussian, Hitham, Zakaria, Nordin, Hussin, Fawnizu Azmadi

    Published 2015
    “…In this paper, we present a modification of Local Remaining Execution-Time and Local time domain (LRE-TL) real-time multiprocessor scheduling algorithm, aimed at reducing the scheduling overhead in terms of task migrations. …”
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  14. 14
    Minimizing scheduling overhead in LRE-TL real-time multiprocessor scheduling algorithm

    Minimizing scheduling overhead in LRE-TL real-time multiprocessor scheduling algorithm by Alhussian, H.S.A., Zakaria, M.N.B., Hussin, F.A.B.

    Published 2017
    “…The critical (C) event occurs when a task consumes its local laxity, which means that the task cannot wait anymore and has to be scheduled for execution immediately or otherwise it will miss its deadline. …”
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  15. 15
    System identification using Extended Kalman Filter

    System identification using Extended Kalman Filter by Alias, Ahmad Hafizi

    Published 2017
    “…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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  16. 16
    Power-efficient wireless coverage using minimum number of uavs

    Power-efficient wireless coverage using minimum number of uavs by Sawalmeh A., Othman N.S., Liu G., Khreishah A., Alenezi A., Alanazi A.

    Published 2023
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  17. 17
    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres

    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres by Atiewi S., Yussof S., Rusli M.E.B., Zalloum M.

    Published 2023
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  18. 18
    Signal Noise Removal using Concurrent Algorithm

    Signal Noise Removal using Concurrent Algorithm by Hammuzamer Irwan , Hamzah, Azween, Abdullah

    Published 2008
    “…This research is in the early phase to solve the problem of how to develop a signal noise removal process using concurrent algorithm. The solution of this problem is shown by producing a high level conceptual model to visualize the architecture of this research. …”
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  19. 19
    Improved performance in distributed estimation by convex combination of DNSAF and DNLMS algorithms

    Improved performance in distributed estimation by convex combination of DNSAF and DNLMS algorithms by Ahmad Pouradabi, Amir Rastegarnia, Azam Khalili, Ali Farzamnia

    Published 2022
    “…The introduced algorithms execute tracking more effectively than traditional algorithms, in addition. …”
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    Proceedings
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  20. 20
    Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm

    Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm by Hammuzamer Irwan, Hamzah, Azween, Abdullah

    Published 2008
    “…This research is in the early phase to solve the problem of how to remove a signal noise using concurrent algorithm. The solution of this problem is shown by producing a high level conceptual model to visualize the architecture of this research. …”
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