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  1. 1

    EEG-based brain source localization using visual stimuli by Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Bornot, J.M., Begum, T.

    Published 2016
    “…According to the spatial resolution provided, the algorithms are categorized as either low resolution methods or high resolution methods. …”
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    Article
  2. 2

    A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies by Yusoff, Mohd Zuki, Kamel, Nidal

    Published 2010
    “…Further, GSA has been compared with a third-order correlation (TOC) method, using both realistic simulation and real patient data gathered in a hospital. …”
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    Citation Index Journal
  3. 3

    Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

    Published 2017
    “…General linear model (GLM) is used to find the unknown parameters of every individual voxel and the classification is done using multi-class support vector machine (SVM). MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. …”
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    Article
  4. 4

    Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images by Khan, A., Ali, S.S.A., Anwer, A., Adil, S.H., Meriaudeau, F.

    Published 2018
    “…This paper presents a new method for subsea pipeline corrosion estimation by using colour information of corroded pipe. …”
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    Article
  5. 5

    Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images by Khan, A., Ali, S.S.A., Anwer, A., Adil, S.H., Meriaudeau, F.

    Published 2018
    “…This paper presents a new method for subsea pipeline corrosion estimation by using colour information of corroded pipe. …”
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    Article
  6. 6

    Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction by Kamel , Nidal, Malik, Aamir Saeed

    Published 2013
    “…In the second experiment, the two algorithms are used to estimate the latency of P100 for objective evaluation of visual pathway conduction. …”
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    Citation Index Journal
  7. 7

    Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

    Published 2009
    “…Next, the validity and the effectiveness of the algorithms to detect the P100's (used in objective assessment of visual pathways) are evaluated using real patient data collected from a hospital. …”
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    Book Section
  8. 8

    Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection by Khan, A., Ali, S.S.A., Meriaudeau, F., Malik, A.S., Soon, L.S., Seng, T.N.

    Published 2017
    “…The visual feedback and corrosion estimation rely on the same image data during the inspection of the pipeline, hence, reducing the complexity of the overall algorithm. …”
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    Article
  9. 9

    Generalized Subspace Approach for Measurements of Visual Evoked Potentials by Yusoff, Mohd Zuki

    Published 2009
    “…Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. …”
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    Thesis
  10. 10

    A Salient Based Bag of Visual Word model (SBBoVW): improvements toward difficult object recognition and object location in image retrieval by Mansourian, Leila, Abdullah, Muhamad Taufik, Abdullah, Lilli Nurliyana, Azman, Azreen, Mustaffa, Mas Rina

    Published 2016
    “…To solve this problem, a new Salient Based Bag of Visual Word (SBBoVW) model for object recognition and object location estimation is presented. …”
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    Article
  11. 11

    Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials by Yusoff, Mohd Zuki

    Published 2010
    “…Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. …”
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    Thesis
  12. 12

    A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise by Yusoff, Mohd Zuki, Hussin, Fawnizu Azmadi

    Published 2010
    “…The simulation results produced by the post-modified SSA2 algorithm, show a higher degree of consistencies in detecting the VEP's P100, P200, and P300 peaks, in comparisons to the pre-modified SSA1 method. …”
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    Citation Index Journal
  13. 13

    Single-Trial Extraction of Visual Evoked Potentials from the Brain by Yusoff, Mohd Zuki, Kamel , Nidal, M Hani, Ahmad Fadzil

    Published 2008
    “…Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. …”
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    Conference or Workshop Item
  14. 14

    SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN by Nidal S., Kamel

    Published 2008
    “…Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. …”
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    Conference or Workshop Item
  15. 15

    A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials by Yusoff, Mohd Zuki, Nidal S., Kamel

    Published 2011
    “…Alternatively, a VEP estimation scheme based on a single VEP trial can be developed to reduce VEP recording time and minimize fatigue on subjects. …”
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    Conference or Workshop Item
  16. 16

    Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

    Published 2004
    “…The proposed technique based on the watershed algorithm, which is applied to the gradient magnitude of the MRI data. …”
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    Thesis
  17. 17

    EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method by Khosropanah, Pegah

    Published 2018
    “…Therefore, in this study a coupled Multivariate Empirical Mode Decomposition (MEMD) with embedded automated artifact remover algorithm and inverse solution method is proposed. …”
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    Thesis
  18. 18

    Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins by Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.

    Published 2024
    “…Additionally, to predict the flood depth, a trained Decision Tree (DT)-based sorting algorithm is used in this method. …”
    Book chapter
  19. 19

    Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

    Published 2021
    “…In essence, the method is to use a reward-based learning environment to watch how the agent makes decisions. …”
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    Monograph
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