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  1. 1
    The noise reduction algorithm for star detection

    The noise reduction algorithm for star detection by Razaman, Anis Hannani, Ahmad, Yasser Asrul, Gunawan, Teddy Surya, Khalifa, Othman Omran, Saidin, Norazlina

    Published 2025
    “…This paper presents a noise reduction algorithm that enhances the detection of star blobs in noisy star images. …”
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  2. 2
    A New Substitution Box From Quranic Maqamat

    A New Substitution Box From Quranic Maqamat by Muhammad Fahim Bin Roslan

    Published 2025
    thesis::doctoral thesis
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  3. 3
    A brief review on vessel extraction and tracking methods

    A brief review on vessel extraction and tracking methods by Boroujeni, Farsad Zamani, Jahangard, Simindokht, O. K. Rahmat, Rahmita Wirza

    Published 2019
    “…Another approach is direct extraction of centerline points using exploratory tracing algorithm preceded by a seed point detection schema to provide a set of reliable starting points for the tracing algorithm. …”
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    Conference or Workshop Item
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  4. 4
    Broken Conductor Detection on Power Distribution Feeder

    Broken Conductor Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

    Published 2013
    “…It proposes an intelligent algorithm using the Fuzzy Subtractive Clustering Model (FSCM) to detect the high impedance fault. …”
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  5. 5
    A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor

    A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor by Boey, Keen Huang

    Published 2018
    “…The distribution of features extracted from each algorithm was tested with Mann Whitney U test, and the sensitivity, specificity and accuracy for each algorithms in correctly classify ET patients were analysed using receiver operating curves (ROC). …”
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    Monograph
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  6. 6
    A cascading fuzzy logic with image processing algorithm-based defect detection for automatic visual inspection of industrial cylindrical object’s surface

    A cascading fuzzy logic with image processing algorithm-based defect detection for automatic visual inspection of industrial cylindrical object’s surface by Ali, Mohammed A. H., Au, Kai Lun

    Published 2018
    “…The image processing algorithm has been developed to extract the main features of the tested objects such as defects, borders, and noise. …”
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  7. 7
    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation

    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

    Published 2019
    “…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
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    Thesis
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  8. 8
    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model

    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model by Sulaiman , Marizan, Adnan, Tawafan, Ibrahim, Zulkifilie

    Published 2013
    “…This paper presents the algorithm for HIF detection based on the amplitude of third and fifth harmonics of current, voltage and power. …”
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  9. 9
    Rangka kerja keselamatan transaksi bagi pelanggan pelayan berasaskan perdagangan elektronik

    Rangka kerja keselamatan transaksi bagi pelanggan pelayan berasaskan perdagangan elektronik by Abdullah, Abdul Hanan

    Published 2003
    “…This particular research successfully produced a protocol to suit AES encryption algorithm in Internet Protocol Security (IPSec).…”
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    Monograph
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  10. 10
    Proposed fatigue index for the objective detection of muscle fatigue using surface electromyography and a double-step binary classifier

    Proposed fatigue index for the objective detection of muscle fatigue using surface electromyography and a double-step binary classifier by Qassim, Hassan M., Hasan, Wan Zuha Wan, Ramli, Hafiz R., Harith, Hazreen Haizi, Inche Mat, Liyana Najwa, Ismail, Luthffi Idzhar

    Published 2022
    “…The proposed algorithm was tested on 75 EMG signals that were extracted from 75 middle deltoid muscles. …”
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  11. 11
    Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method

    Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method by Al-Mohair, Hani Kaid Saif

    Published 2017
    “…Human skin detection is an important preprocessing step in many applications involving images such as face detection, gesture tracking, and nudity detection. …”
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    Thesis
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  12. 12
    Computerized segmentation of sinus images

    Computerized segmentation of sinus images by Iznita , I.L., Asirvadam , Vijanth Sagayan, Venkatachalam, P.A, Lee, S.N

    Published 2009
    “…These algorithms were able to extract important features from the images. …”
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    Conference or Workshop Item
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  13. 13
    A Chaos-Based Substitution Box (S-Box) Design with Improved Differential Approximation Probability (DP)

    A Chaos-Based Substitution Box (S-Box) Design with Improved Differential Approximation Probability (DP) by Khan, M.A., Ali, A., Jeoti, V., Manzoor, S.

    Published 2018
    “…Substitution box is a vital and the only nonlinear component of modern encryption algorithm. S-box is introduced as a confusion component to resist against differential cryptanalysis. …”
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  14. 14
    A Chaos-Based Substitution Box (S-Box) Design with Improved Differential Approximation Probability (DP)

    A Chaos-Based Substitution Box (S-Box) Design with Improved Differential Approximation Probability (DP) by Khan, M.A., Ali, A., Jeoti, V., Manzoor, S.

    Published 2018
    “…Substitution box is a vital and the only nonlinear component of modern encryption algorithm. S-box is introduced as a confusion component to resist against differential cryptanalysis. …”
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  15. 15
    A novel image encryption using an integration technique of blocks rotation based on the Magic cube and the AES Algorithm

    A novel image encryption using an integration technique of blocks rotation based on the Magic cube and the AES Algorithm by Abugharsa, Ahmed Bashir, Hasan Basari, Abd Samad, Almangush, Hamida

    Published 2012
    “…Finally, experimental results and security analysis show that the proposed image encryption scheme not only encrypts the picture to achieve perfect hiding, but the algorithm can also withstand exhaustive, statistical and differential attacks.…”
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  16. 16
    Segmentation of Sinus Images for Grading of Severity of Sinusitis

    Segmentation of Sinus Images for Grading of Severity of Sinusitis by Iznita , I.L., Asirvadam , Vijanth Sagayan

    Published 2009
    “…This project attempts to develop a computerize system by developing algorithm for the segmentation of sinus images for the detection of sinusitis. …”
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    Book Section
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  17. 17
    Chaotic-based encryption algorithm using henon and logistic maps for fingerprint template protection

    Chaotic-based encryption algorithm using henon and logistic maps for fingerprint template protection by Siswanto, Apri, Katuk, Norliza, Ku-Mahamud, Ku Ruhana

    Published 2020
    “…The chaotic-based encryption algorithms have been improved a lot in terms of their robustness. …”
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  18. 18
    COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM

    COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

    Published 2011
    “…The thesis then provides an automatic system for breast cancer detection. An automatic thresholding algorithm was used to separate the area composed of the breast and the pectoral muscle from the background of the image. …”
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    Thesis
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  19. 19
    A new image encryption algorithm based on single S-box and dynamic encryption step

    A new image encryption algorithm based on single S-box and dynamic encryption step by Wang, Ji Jun, Tan, Soo Fun

    Published 2021
    “…Under the control of the dynamic encryption step algorithm, it effectively destroys the correlation between the source image’s pixels. …”
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    Experiment
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  20. 20
    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC

    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC by Jamil, Nur Farahim

    Published 2014
    “…A working classification algorithm is developed by using MATLAB and the Fuzzy Logic Toolbox to differentiate and classify the staining pattern of HEp-2 cell images. …”
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    Final Year Project
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