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  1. 1
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  2. 2
    Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows

    Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows by Zakaria, M.N.

    Published 2017
    “…This paper presents a stochastic partially optimized cyclic shift crossover operator for the optimization of the multi-objective vehicle routing problem with time windows using genetic algorithms. The aim of the paper is to show how the combination of simple stochastic rules and sequential appendage policies addresses a common limitation of the traditional genetic algorithm when optimizing complex combinatorial problems. …”
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  3. 3
    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network

    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network by Abduh Kaid, Monir Abdullah

    Published 2005
    “…This routing problem is an NPhard problem. Many algorithms are designed by many researchers to perform this routing such as window method, sequential algorithm, degree-descending algorithm, simulated annealing algorithm, genetic algorithm and ant colony algorithm.This thesis explores two approaches, sequential and parallel approaches. …”
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  4. 4
    Examining the round trip time and packet length effect on window size by using the Cuckoo search algorithm

    Examining the round trip time and packet length effect on window size by using the Cuckoo search algorithm by Abubakar, Adamu, Chiroma, Haruna, Khan, Abdullah, Mohamed, Elbaraa Eldaw Elnour

    Published 2016
    “…Round trip time (RTT) and packet length were captured over several network sessions. They were used as input and their effects were evaluated on window size as the output. …”
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  5. 5
    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA

    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA by AHMED IZZELDIN, HUZAIFA TAWFEIG

    Published 2012
    “…The SW learning is investigated with different resetting criterion, diierent step size choices and different window sizes in addition to improving the existing SW module by proposing different data store management @SM) techniques that is used to reduce correlation inside the window store. …”
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  6. 6
    Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm

    Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm by Khoo, Thau Soon

    Published 2022
    “…Our algorithm uses non-fitness evolutionary distributed parallelized adaptive large neighbourhood search (NEDPALNS). …”
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  7. 7
    Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows

    Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows by Pierre, D.M., Zakaria, N.

    Published 2017
    “…This paper presents a stochastic partially optimized cyclic shift crossover operator for the optimization of the multi-objective vehicle routing problem with time windows using genetic algorithms. The aim of the paper is to show how the combination of simple stochastic rules and sequential appendage policies addresses a common limitation of the traditional genetic algorithm when optimizing complex combinatorial problems. …”
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  8. 8
    Line clipping based on parallelism approach and midpoint intersection

    Line clipping based on parallelism approach and midpoint intersection by Hattab, Adel Salem Abdullah, Yusof, Yuhanis

    Published 2014
    “…The main property is considered in this algorithm is the parallelism with window boundary to define the clipped line.For parallel lines with window boundaries no need to use intersection point method to find the coordinates of the end points of the clipped line.Midpoint algorithm is used to determine the intersection point with the clipped boundary for non-parallel lines. …”
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  9. 9
    Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China / Haowei Yu

    Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China... by Haowei , Yu

    Published 2025
    “…In this thesis, a CFD simulation approach is proposed to investigate the diffusion characteristics of airborne viruses/pollutants in multiple rooms on the same level, considering different window statuses (opening angles). This novel simulation approach combines a window state prediction algorithm and CFD simulation technology. …”
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  10. 10
    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 main significance of this approach is that the best characteristics of both operating systems LINUX Fedora 16 and Windows7 have been utilized. Under Windows7, Visual C++ 2010 combined with OpenCV pre 1.1 library supports video processing algorithms and has a power graphical user interface. …”
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    Proceeding Paper
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  11. 11
    Jawi sub-word recognition system using window-based segmentation-free approach / Roslim Mohamad

    Jawi sub-word recognition system using window-based segmentation-free approach / Roslim Mohamad by Mohamad, Roslim

    Published 2017
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  12. 12
    Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks

    Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks by Muftah, Shalghum Khaled

    Published 2022
    “…The first part introduces a flexible window-overlapping scheduling (FWOS) algorithm that allows the TT windows to overlap in GCL implementations. …”
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  13. 13
    Encryption Technology on Windows Workstation

    Encryption Technology on Windows Workstation by Amdan, Zulkhaimi

    Published 2004
    “…This is achieved by trying to combine several techniques of securing and strengthening the RSA algorithm. …”
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  14. 14
    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 main significance of this approach is that the best characteristics of both operating systems LINUX Fedora 16 and Windows7 have been utilized. Under Windows7, Visual C++ 2010 combined with OpenCV pre 1.1 library supports video processing algorithms and has a power graphical user interface. …”
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  15. 15
    Noise Cancellation method in assistive listening system

    Noise Cancellation method in assistive listening system by Noor Aliff, Noor Affande

    Published 2020
    “…The noise cancellation system is categorized as active type of noise cancelling method as it includes adaptive filter and adaptive algorithm. This study also dedicated to use various type of adaptive algorithm to test the performance of each adaptive algorithm in order to identify the most efficient of algorithm. …”
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    Undergraduates Project Papers
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  16. 16
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  17. 17
    Sensing texture using an artificial finger and a data analysis based on the standard deviation

    Sensing texture using an artificial finger and a data analysis based on the standard deviation by Chappell, Paul H., Muridan, Norasmahan, Mohamad Hanif, N. H. H, Cranny, Andy, White, Neil M.

    Published 2015
    “…The algorithm output can use any length of data input. …”
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  18. 18
    Metaheuristics for the waste collection vehicle routing problem with time windows

    Metaheuristics for the waste collection vehicle routing problem with time windows by Benjamin, Aida Mauziah, Beasley, J. E.

    Published 2010
    “…In this problem there is a set of customers which waste is collected by vehicles.Vehicles can visit waste disposal facilities during their working day to empty collected waste and hence continue to collect from customers.The vehicles start and end their routes at a single depot empty.We take into consideration time windows associated with customers, disposal facilities and the depot.Here, we also have a driver rest period.The problem is solved using a number of metaheuristic algorithms namely tabu search (TS) and variable neighbourhood search (VNS).More over, we also present a combined metaheuristic algorithm based on variable neighbourhood tabu search (VNTS).Where the variable neighbourhood is searched via tabu search.Computational experiments on ten publicly available waste collection benchmark problems involving up to 2092 customers and 19 waste disposal facilities indicates that the proposed algorithms are able to find better quality solutions than previous work presented in literature within reasonable computation times.…”
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  19. 19
    Destination prediction based on past movement history

    Destination prediction based on past movement history by Waheed, Mihsaan

    Published 2020
    “…The results are promising and we also look at the combination of variables to use for such a use case.…”
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  20. 20
    Sensing texture using an artificial finger and a data analysis based on the standard deviation

    Sensing texture using an artificial finger and a data analysis based on the standard deviation by Chappell, Paul H., Muridan, Norasmahan, Mohamad Hanif, Nik Hazrin, Cranny, Andy, White, Neil M.

    Published 2015
    “…The SD analysis for texture detection is novel as it uses a combination of arithmetic processes. It windows the data sequentially and calculates the SD of the data in the windows and then averages the SDs. …”
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