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  1. 1
    VMware as an Intermediate Platform between Windows 7 and Linux Fedora 15 for Real-Time Malaysian Sign Language Translator

    VMware as an Intermediate Platform between Windows 7 and Linux Fedora 15 for Real-Time Malaysian Sign Language Translator by Bilal, Sara Mohammed Osman Saleh, Nassr, Rasheed, Akmeliawati, Rini

    Published 2014
    “…The communication between client (Windows7) and server (LINUX Fedora 16) has been established using VMware. …”
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  2. 2
    VMware as an intermediate platform between Windows 7 and Linux Fedora 15 for real-time Malaysian sign language translator

    VMware as an intermediate platform between Windows 7 and Linux Fedora 15 for real-time Malaysian sign language translator by Bilal, Sara Mohammed Osman Saleh, Nassr, Rasheed M., Akmeliawati, Rini

    Published 2014
    “…The communication between client (Windows7) and server (LINUX Fedora 16) has been established using VMware. …”
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  3. 3
    Agile-SD: a Linux-based TCP congestion control algorithm for supporting high-speed and short-distance networks

    Agile-SD: a Linux-based TCP congestion control algorithm for supporting high-speed and short-distance networks by Alrshah, Mohamed A., Othman, Mohamed, Mohd Ali, Borhanuddin, Mohd Hanapi, Zurina

    Published 2015
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  4. 4
    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices

    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
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  5. 5
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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  6. 6
    Route Optimization System

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
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  7. 7
    Runtime pluggable CPU scheduler for linux operating system

    Runtime pluggable CPU scheduler for linux operating system by Al-Maweri, Nasr Addin Ahmed Salem

    Published 2010
    “…Process scheduler, or CPU scheduler is the component of the operating system that plays the role of processes coordination and synchronization. The CPU scheduler uses different scheduling policies (algorithms) to manage such processes. …”
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  8. 8
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
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  9. 9
    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
    “…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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  10. 10
    Adaptive linux-based TCP congestion control algorithm for high-speed networks

    Adaptive linux-based TCP congestion control algorithm for high-speed networks by Alrshah, Mohamed A.

    Published 2017
    “…Third, to formulate an equation to automate the configuration of ʎmax parameter in order to increase the scalability of AF-based CCA. Fortunately, the results confirm the validity of the proposed algorithm. …”
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  11. 11
    Parallelization of noise reduction algorithm for seismic data on a beowulf cluster

    Parallelization of noise reduction algorithm for seismic data on a beowulf cluster by Aziz, I. A., Sandran, T., Haron, N. S., Hasan, M. H, Mehat, M.

    Published 2010
    “…The parallel algorithm was developed using C language with the utilization of the Message Passing Interface (MPI) library. …”
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    Citation Index Journal
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  12. 12
    An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm

    An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm by Mr, Handrizal, Mr, Muhammad Zarlis, Noraziah, Ahmad, Abdalla, Ahmed N.

    Published 2012
    “…A series of experiment was carried out by using one computer. Vertex Merge Algorithm (VMA) simulation is developed under Linux platform. …”
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  13. 13
    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
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    Monograph
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  14. 14
    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
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  15. 15
    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT

    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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  16. 16
    Communication and computational cost on parallel algorithm of PDE elliptic type

    Communication and computational cost on parallel algorithm of PDE elliptic type by Alias, Norma

    Published 2009
    “…The parallel algorithms of 2-dimensional Partial Differential Equation (PDE) elliptic type for the prediction will be executed using distributed memory of heterogeneous cluster platform on LINUX-based environment. …”
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  17. 17
    The visualization of power density and temperature distribution of electronic system using elliptic PDE solver

    The visualization of power density and temperature distribution of electronic system using elliptic PDE solver by Alias, Norma, Satam, Noriza, A. Ghaffar, Zarith Safiza

    Published 2008
    “…The elliptic solver is developed using C language and executed in Linux operating system's environment.…”
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  18. 18
    Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite

    Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite by Suali, Anjila J., Nuraminah Ramli, Rozmie Razif Othman, Hasneeza Liza Zakaria, Iszaidy Ismail, Nor Shahida Mohd Jamail, Rimuljo Hendradi, Nurol Husna Che Rose

    Published 2025
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  19. 19
    An improved algorithm for channel allocation on direct sequence spread spectrum

    An improved algorithm for channel allocation on direct sequence spread spectrum by Handrizal, M

    Published 2011
    “…Graph coloring is an assignment a color to each vertex, which each vertex that adjacent is given a different color. Graph coloring is a useful algorithm for channel allocation on Direct Sequence Spread Spectrum (DSSS).Through this algorithm,each access point (AP) that adjacent gives different channels based on colors available.Welsh Powell algorithm and Degree of saturation (Dsatur) are the popular algorithms being used for channel allocation in this domain. …”
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  20. 20
    Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.]

    Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.] by Mohd Fuzi, Mohd Faris, Mohd Shahirudin, Syamir, Abd Halim, Iman Hazwam, Jamaluddin, Muhammad Nabil Fikri

    Published 2023
    “…To improve the detection accuracy for future research, it is suggested that the malware dataset be enhanced using several architectures, such as Linux and Android, and use additional supervised and unsupervised machine learning algorithms.…”
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