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  1. 1

    Creating Air Temperature Models for High-Elevation Desert Areas Using Machine Learning by Forooshani, Massoud, Gegov, Alexander, Pepin, Nick, Adda, Mo

    Published 2023
    “…Estimation of Ta from Ts is one potential way of overcoming shortages due to uneven or irregular distributions of weather stations. However, whether this is successful has not been assessed in high-elevation regions. …”
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    Article
  2. 2

    Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

    Published 2024
    “…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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    Thesis
  3. 3

    Investigation Of Electrical Capacitance Tomography For Agarwood Detection by Muhamad Aiqil, Sarudin

    Published 2022
    “…Moreover, the sensitivity distribution using 64x64 pixels in forward problem was solved using COMSOL and export into the MATLAB software. …”
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    Undergraduates Project Papers
  4. 4

    A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Wendy Ling, Shinyie, Tan Lit, Ken

    Published 2022
    “…The results of the analysis show that Forgy K-means non-hierarchical (FKNH), Hartigan- Wong K-means non-hierarchical (HKNH), and Lloyd K-means non-hierarchical (LKNH) regionalisation algorithms are superior to other automated agglomerative hierarchical and non-hierarchical regionalisation algorithms. …”
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    Article
  5. 5

    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Zun, Liang Chuan, Wan Yusof, Wan Nur Syahidah, Senawi, Azlyna, Mohd Akramin, Mohd Romlay, Soo, Fen Fam, Wendy, Ling Shinyie, Tan, Lit Ken

    Published 2022
    “…The results of the analysis show that Forgy K-means non-hierarchical (FKNH), HartiganWong K-means non-hierarchical (HKNH), and Lloyd K-means non-hierarchical (LKNH) regionalisation algorithms are superior to other automated agglomerative hierarchical and non-hierarchical regionalisation algorithms. …”
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    Article
  6. 6

    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Shinyie, Wendy Ling, Ken, Tan Lit

    Published 2022
    “…The results of the analysis show that Forgy K-means non-hierarchical (FKNH), HartiganWong K-means non-hierarchical (HKNH), and Lloyd K-means non-hierarchical (LKNH) regionalisation algorithms are superior to other automated agglomerative hierarchical and non-hierarchical regionalisation algorithms. …”
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    Article
  7. 7

    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
    “…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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    Article
  8. 8

    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
    “…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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    Article
  9. 9

    Novel wide-area fault location and predictive maintenance technique for distribution system by Tan C.K., Ramachandaramurthy V.K.

    Published 2023
    “…The algorithm is able to identify the faulted branches in a radial distribution system with high accuracy. …”
    Article
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    Development of lung cancer prediction system using meta-heuristic optimized deep learning model by Mohamed Shakeel, Pethuraj

    Published 2023
    “…After that cancer-affected region in the lung is segmented with the help of the proposed Butterfly Optimization Algorithm-based K-Means Clustering (BOAKMC) algorithm. …”
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    Thesis
  13. 13

    TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms by Marina, Patrick, Mah, Yau Seng, Putuhena, Frederik Josep, Wang, Yin Chai, Onni Suhaiza, Selaman

    Published 2016
    “…These findings suggest that satellite algorithm estimations from TRMM are suitable to represent the spatial distribution of extreme rainfall.…”
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    Article
  14. 14

    An attack proof intelligent digital watermarking based on safe region of fast fourier transform by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Aburas, A. A.

    Published 2010
    “…Keywords: (Artificial Neural Network, Back Propagation algorithm, Fast Fourier Transform, FFT, Image watermarking, Safe Region,) …”
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    Proceeding Paper
  15. 15

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

    Published 2008
    “…Using the mask of pixels modified at each scale, granulometric analysis is employed to compute the average size of convex and concave regions in the DEM, and the scale-independent average roughness of the terrain of the DEM due the distribution of convex and concave regions in the terrain. …”
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    Conference or Workshop Item
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    Determining the multi-current sources of magnetoencephalography by using Fuzzy Topographic Topological Mapping by Wan Abdul Rahman, Wan Eny Zarina

    Published 2006
    “…In the process of applying FTTM2, emphasis is made on its first component, the IC where two different algorithms are being applied to the data. The first is the fuzzy c-means (FCM) algorithm which is used to determine the region where the current sources lie and also to approximate the number of current sources. …”
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    Thesis
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    Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

    Published 2017
    “…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
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    Article