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  1. 1
    EEG-based brain source localization using visual stimuli

    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
    “…The tables are also provided to describe the intensity levels for estimated current level for the inverse methods used. …”
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  2. 2
    Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network

    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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  3. 3
    A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies

    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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  4. 4
    Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images

    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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  5. 5
    Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images

    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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  6. 6
    Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction

    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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  7. 7
    Subspace Techniques for Brain Signal Enhancement

    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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  8. 8
    Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection

    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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  9. 9
    Generalized Subspace Approach for Measurements of Visual Evoked Potentials

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

    Published 2009
    “…With the favorable performance demonstrated by the outcome of the simulated and real patient data, both GSAs have the potentials to be used not only as biomedical signal estimators from the brain, but also as general purpose estimators in any other fields where SNR values are relatively low.…”
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  10. 10
    Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials

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

    Published 2010
    “…With the favorable performance demonstrated by the outcome of the simulated and real patient data, both GSAs have the potentials to be used not only as biomedical signal estimators from the brain, but also as general purpose estimators in any other fields where SNR values are relatively low.…”
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  11. 11
    A Salient Based Bag of Visual Word model (SBBoVW): improvements toward difficult object recognition and object location in image retrieval

    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
    “…This method integrates SIFT features of the original and salient parts of pictures and fuses them together to generate better codebooks using bag of visual word method. …”
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  12. 12
    Single-Trial Extraction of Visual Evoked Potentials from the Brain

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

    Published 2008
    “…This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. …”
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  13. 13
    SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN

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

    Published 2008
    “…This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. …”
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  14. 14
    EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method

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

    Published 2018
    “…Although Electroencephalography (EEG)-based source localization (ESL) estimates the EZ more precisely than other techniques but, it is used rarely in surgery centers. …”
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  15. 15
    A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise

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

    Published 2010
    “…Moreover, the results of the real patient data confirm the superiority of SSA2 over SSA1 in estimating VEP's P100 latencies, which are used by doctors to assess the conduction of electrical signals from the subjects' retinas to the visual cortex parts of their brains.…”
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  16. 16
    A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials

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

    Published 2011
    “…The performance of SAPW in estimating VEP latencies has been assessed using simulated data at SNR ranging from 0 to -11 dB, and real patient data gathered in a hospital. …”
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  17. 17
    Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm

    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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  18. 18
    Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins

    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. This DT-based model takes 4 random rainfall data to train and predict the flood depth of the study area…”
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  19. 19
    Deep Reinforcement Learning For Control

    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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  20. 20
    Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review

    Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review by Norhasmira, Mohammad, Rohana, Ahmad, Arofi, Kurniawan, Mohd Yusmiaidil, Putera Mohd Yusof

    Published 2022
    “…Background: Forensic odontology may require a visual or clinical method during identification. Sometimes it may require forensic experts to refer to the existing technique to identify individuals, for example, by using the atlas to estimate the dental age. …”
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