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  1. 1
    A method for computation of surface roughness of digital elevation model terrains via multiscale analysis

    A method for computation of surface roughness of digital elevation model terrains via multiscale analysis by Ahmad Fadzil, Mohamad Hani, Sathyamoorthy, Dinesh, Asirvadam, Vijanth Sagayan

    Published 2010
    “…At each scale, the areas of pixels that are modified are computed. Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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  2. 2
    A method for computation of surface roughness of digital elevation model terrains via multiscale analysis

    A method for computation of surface roughness of digital elevation model terrains via multiscale analysis by Mohd Hani, Ahmad Fadzil, Sathyamoorthy, Dinesh, Asirvadam , Vijanth Sagayan

    Published 2010
    “…At each scale, the areas of pixels that are modified are computed. Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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  3. 3
    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
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  4. 4
    Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm

    Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm by Jaber M.M., Yussof S., Elameer A.S., Weng L.Y., Abd S.K., Nayyar A.

    Published 2023
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  5. 5
    Improving the synthetic coefficient of variation chart by incorporating side sensitivity

    Improving the synthetic coefficient of variation chart by incorporating side sensitivity by Lee, PingYin

    Published 2024
    “…Algorithms to obtain optimal chart parameters are also formulated. …”
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  6. 6
    Computation of scale-independent surface roughness via the generation of multiscale digital elevation models

    Computation of scale-independent surface roughness via the generation of multiscale digital elevation models by Mohd Hani, Ahmad Fadzil

    Published 2008
    “…A number of algorithms have been employed to compute surface roughness. …”
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  7. 7
    Development of lung cancer prediction system using meta-heuristic optimized deep learning model

    Development of lung cancer prediction system using meta-heuristic optimized deep learning model by Mohamed Shakeel, Pethuraj

    Published 2023
    “…The algorithm detects the affected region depending on pixel similarity computation process. …”
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  8. 8
    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy

    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

    Published 2022
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  9. 9
    Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah

    Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah by Wan Shahidan, Wan Nurshazelin, Abdullah, Siti Nurasikin

    Published 2017
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  10. 10
    Computation of scale-independent surface roughness via the generation of multiscale digital elevation models

    Computation of scale-independent surface roughness via the generation of multiscale digital elevation models by A.F.M., Hani, V.S., Asirvadam, D., Sathyamoorthy

    Published 2008
    “…A number of algorithms have been employed to compute surface roughness. …”
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  11. 11
    Clustering of Indonesian forest fires using self organizing maps

    Clustering of Indonesian forest fires using self organizing maps by Selamat, Ali, Selamat, Md. Hafiz

    Published 2006
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  12. 12
    Network reconfiguration and control for loss reduction using genetic algorithm

    Network reconfiguration and control for loss reduction using genetic algorithm by Jawad, Mohamed Hassan Izzaldeen

    Published 2010
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  13. 13
    Defect detection based on extreme edge of defective region histogram

    Defect detection based on extreme edge of defective region histogram by Wakaf, Zouhir, Jalab, Hamid Abdullah

    Published 2018
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  14. 14
    A PSO inspired asynchronous cooperative distributed hyper-heuristic for course timetabling problems

    A PSO inspired asynchronous cooperative distributed hyper-heuristic for course timetabling problems by Joe Henry Obit, Rayner Alfred, Mansour Hassani Abdalla

    Published 2017
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  15. 15
    Incremental learning for large-scale stream data and its application to cybersecurity

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…These regions are represented by margin flag. Each region is consisted of similar data which are near to each other. …”
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  16. 16
    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat

    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

    Published 2020
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  17. 17
    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decision-making

    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

    Published 2023
    “…In MEC environment, cloudlets that represent a relatively powerful computing resource can be collocated with the base station to enable good coverage of computing service due to the high demand and random distribution of users. …”
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  18. 18
    Case Slicing Technique for Feature Selection

    Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

    Published 2004
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  19. 19
    Sobel And Canny Edges Segmentations For The Dental Age Assessment

    Sobel And Canny Edges Segmentations For The Dental Age Assessment by Razali, MRM, Ahmad, NS, Hassan, R, Zaki, ZM, Ismail, W

    Published 2024
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  20. 20
    Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi

    Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi by Sherksi, Nasereddin Ibrahim

    Published 2020
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