Search Results - (( visual estimation method algorithm ) OR ( java application testing algorithm ))

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  1. 1

    Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments by Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Su, S.

    Published 2022
    “…Visual odometry is the process of estimating the motion between two consecutive images. …”
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    Article
  2. 2

    Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments by Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Su, S.

    Published 2022
    “…Visual odometry is the process of estimating the motion between two consecutive images. …”
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    Article
  3. 3

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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    Final Year Project
  4. 4
  5. 5

    Natural image noise level estimation based on local statistics for blind noise reduction by Khmag, Asem, Ramli, Abd Rahman, Sy Mohamed, Sy Abd Rahman Al-haddad, Kamarudin, Noraziahtulhidayu

    Published 2018
    “…In this study, a patch-based estimation technique is used to estimate for noise level and applies it to the proposed blind image denoising algorithm. …”
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    Article
  6. 6

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

    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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    Citation Index Journal
  7. 7

    Estimation of Visual Evoked Potentials using a Signal Subspace Approach by Kamel , Nidal

    Published 2007
    “…The signal subspace is estimated by applying eigenvalue decomposition on the approximated signal covariance matrix. …”
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    Article
  8. 8

    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
  9. 9

    Single-trial visual evoked potential extraction using partial least-squares-based approach by Yanti, D.K., Yusoff, M.Z., Asirvadam, V.S.

    Published 2016
    “…The PLS algorithm gives the best estimate to multitrial ensemble averaging. …”
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    Article
  10. 10

    Single-trial visual evoked potential extraction using partial least-squares-based approach by Yanti, D.K., Yusoff, M.Z., Asirvadam, V.S.

    Published 2016
    “…The PLS algorithm gives the best estimate to multitrial ensemble averaging. …”
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    Article
  11. 11

    JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS) by Wan Muhamad Amir, Mohamad Shafiq, Hanafi A. Rahim, Puspa Liza Ghazali, Azlida Aleng, Abdullah, Z.

    Published 2016
    “…The aim of bootstrapping is to approximate the sampling distribution of some estimator. An algorithm for combining method is given in SAS, along with applications and visualizations.…”
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    Non-Indexed Article
  12. 12

    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
  13. 13

    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
  14. 14

    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…The most important task for any autonomous mobile vehicle is the reliable estimation of its position over time. Visual odometry (VO) is a localization technique that estimates the position of a robot using only the stream of images acquired from a camera. …”
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    Thesis
  15. 15

    GMSD-based perceptually motivated non-local means filter for image denoising by Baqar, Mohtashim *, Lau, Sian Lun *

    Published 2019
    “…Further, the proposed methodology also helps in mitigating the patch jittering blur effect (PJBE) and over smoothing of denoised images as observed with conventional NLM algorithm. Experimental evaluations based on visual-quality assessment and least-square based metrics have shown that the proposed algorithm yields better denoised image estimates than the conventional NLM algorithm. …”
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    Conference or Workshop Item
  16. 16

    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

    Published 2020
    “…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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    Journal
  17. 17

    Estimation of Visual Evoked Potentials using a Signal Subspace Approach by Yusoff, Mohd Zuki, Kamel , Nidal, Ahmad Fadzil, Mohd Hani

    Published 2007
    “…A signal subspace technique is presented to estimate VEPs hidden inside highly colored electroencephalogram EEG) noise. …”
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    Conference or Workshop Item
  18. 18

    Estimation of Visual Evoked Potentials using a Signal Subspace Approach by Kamel , Nidal

    Published 2007
    “…The signal subspacebased algorithm is able to satisfactorily extract the P100, P200and P300 peak latencies from artificially generated noisy VEPs.The simulation results show that the estimator maintains anaverage success rate of 87 % with an average percentage error of less than 9 %, when subjected to SNR from 0 dB to -10 dB. …”
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    Conference or Workshop Item
  19. 19

    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
  20. 20

    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