Search Results - (( estimation using visual algorithm ) OR ( java application based algorithm ))

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  1. 1

    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
  2. 2

    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
  3. 3

    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

    Published 2006
    “…The current thesis is concerned with how biological systems solve the computational problem of visual pose estimation. Four levels of analysis are traversed in order of decreasing abstraction: computational, algorithmic, implementational and formational. …”
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    Thesis
  4. 4

    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
  5. 5

    Estimation of Visual Evoked Potentials for Measurement of Optical Pathway Conduction by Yusoff, Mohd Zuki, Kamel , Nidal

    Published 2009
    “…A time domain constrained subspace-based estimator for extracting a visual evoked potential (VEP) from a highly noisy brain activity is proposed. …”
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    Conference or Workshop Item
  6. 6

    ESTIMATION OF VISUAL EVOKED POTENTIALS FOR MEASUREMENT OF OPTICAL PATHWAY CONDUCTION by Nidal S., Kamel

    Published 2009
    “…A time domain constrained subspace-based estimator for extracting a visual evoked potential (VEP) from a highly noisy brain activity is proposed. …”
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    Conference or Workshop Item
  7. 7

    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
  8. 8

    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
  9. 9
  10. 10

    Autonomous Target Tracking Of A Quadrotor UAV Using Monocular Visual-Inertial Odometry by Chin, Mun Xue

    Published 2018
    “…Referring to and improving the state-of-the-art CV algorithms, there is a newly formulated approach to detect the designed visual marker. …”
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    Monograph
  11. 11

    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
  12. 12

    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
  13. 13

    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
  14. 14

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…According to that, the visual comparison in subjective analysis is used. …”
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    Thesis
  15. 15
  16. 16

    A Generalized Subspace Approach for Estimating Visual Evoked Potentials by Nidal S., Kamel, Yusoff, Mohd Zuki

    Published 2008
    “…The validity and effectiveness of the proposed GSA scheme in estimating the latencies of P100's (used in objective assessment of visual pathways) are evaluated using real data collected from Selayang Hospital in Kuala Lumpur. …”
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    Conference or Workshop Item
  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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  18. 18

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…These particles are then advected to a new location according to its underlying optical flow vector at the current location. Using the attained flow vectors from this stage, interaction force estimation is done based on SFM theory. …”
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    Thesis
  19. 19

    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
  20. 20

    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