Search Results - (( based estimation method algorithm ) OR ( data visualization techniques algorithm ))

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  1. 1

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

    Published 2010
    “…An optimization and eigen-decomposition-based subspace approach has been investigated and tested to estimate the latencies of visual evoked potential (VEP) signals which are highly corrupted by spontaneous electro-encephalogram (EEG) waveforms that can be considered as colored noise. …”
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    Citation Index Journal
  2. 2

    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
  3. 3

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

    Published 2009
    “…This chapter presents a collection of subspace-based techniques derived from other research areas to estimate biomedical signals from human. …”
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    Book Section
  4. 4

    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
  5. 5

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

    Published 2009
    “…The results of fifty real patient data further confirm that both GSAs are better estimators compared to the other studied techniques. …”
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    Thesis
  6. 6

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

    Published 2010
    “…The results of fifty real patient data further confirm that both GSAs are better estimators compared to the other studied techniques. …”
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    Thesis
  7. 7

    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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    Thesis
  8. 8

    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
  9. 9

    Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

    Published 2022
    “…Two different networks were applied in this study, namely DeepLabv3+ and SegNet, for detecting water regions before estimating water levels from surveillance images. Water level estimation was predicted based on the elevations from LiDAR data. …”
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    Thesis
  10. 10

    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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    Article
  11. 11

    Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique by Ling, Tung Chai

    Published 2005
    “…Furthermore, the automated method can improve the objectivity, accuracy, and consistency of distress survey data. …”
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    Thesis
  12. 12

    Hybrid sampling and random forest machine learning approach for software detect prediction by Md. Anwar, Hossen, Md. Shariful, Islam, Nurhafizah, Abu Talip, Md. Sakib, Rahman, Fatema, Siddika, Mostafijur, Rahman, Sabira, Khatun, Mohamad Shaiful, Abdul Karim, S. M, Hasan Mahmud

    Published 2019
    “…Matplotlib, and PyPlot are used for graph and data visualization respectively. The hybrid sampling method and Random Forest (RF) algorithms achieved the highest prediction accuracy about 93.26% by showing its superiority.…”
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    Conference or Workshop Item
  13. 13

    High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor by Abdul Rashid, Raghdah Rasyidah, Shaharudin, Shazlyn Milleana, Sulaiman, Nurul Ainina Filza, Zainuddin, Nurul Hila, Mahdin, Hairulnizam, Mohd Najib, Summayah Aimi, Hidayat, Rahmat

    Published 2024
    “…The Principal Component Analysis (PCA) technique was employed to choose relevant environmental variables as input for the machine learning model, and various imputation methods were utilized to manage missing data, such as mean imputation and the KNN algorithm. …”
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    Article
  14. 14

    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

    Published 2019
    “…To classify image noise type, the CNN trained with Backpropagation (BP) algorithm and Stochastic Gradient Descent (SGD) optimization technique are implemented. …”
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    Thesis
  15. 15

    Budget visualizer using circle packing technique / Nursyahira Zulkeply by Zulkeply, Nursyahira

    Published 2019
    “…In order to construct this data visualization, the circle packing algorithm is used to visualize these budgets. …”
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    Thesis
  16. 16

    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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    Thesis
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  18. 18

    3D multimodal cardiac data reconstruction using computerized tomographic angiography and x-ray angiography registration by Moosavitayebi, Seyed Rohollah

    Published 2016
    “…The second contribution is related to propose a fast and accurate method for 3D main coronary artery segmentation and labeling from CT Angiography based on the proposed Intersection Tracking method and Improved vesselness filter. …”
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    Thesis
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  20. 20

    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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    Thesis