Search Results - (( using decomposition based algorithm ) OR ( data visualization using algorithm ))
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HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION
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EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method
Published 2018“…Few studies considered eye blink artifact removal for purpose of epilepsy source localization studies and most of them used either visual inspection or computer-based approaches which still need of experts’ supervision. …”
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A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies
Published 2010“…Additionally, the results of the real patient data confirm the superiority of GSA over TOC in estimating VEP's P100 latencies, which are used by clinicians to assess the conduction of electrical signals from the subjects' retinas to the visual cortex parts of their brains.…”
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4
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…This paper proposed the NAGE method as a straight forward transformation from sequential to parallel algorithm using domain decomposition and splitting strategies. …”
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5
Single-Trial Extraction of Visual Evoked Potentials from the Brain
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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6
SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN
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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7
Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique
Published 2018“…The current research presents the implementation of an integrated kurtosisbased algorithm for a z-filter technique (Ikaz) to kurtosis ratio (Ikaz-kurtosis), for this allows automatic selection of the IMF that should be used. …”
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8
Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA
Published 2017“…Using qualitative (visual inspection) and quantitative (similarity index, improved normalized power spectrum (INPS) ratio, power spectrum, sample entropy (SE)) evaluation parameters, the assessment results showed that the proposed method can efficiently reduce the BCG artefact while preserving the neuronal signals. …”
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A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise
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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10
A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum
Published 2015“…Additionally, hyperspectral signals are usually studied using the derivative analysis method that is very sensitive to noise in the data. …”
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EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN algorithm is able to control the size of training pool using predefined window size threshold. …”
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A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali
Published 2012“…This approach presents better platform in finite field E as compared to the original works using the braid groups. The second algorithm deals with the use of Decomposition Problem in encryption scheme for ECC. …”
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Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm
Published 2011“…We first analyzed experts' written summaries, extracted the strategies used in the summaries, formulated a set of heuristics rules to define the strategies and finally transformed the rules using position-based method into summary sentence decomposition algorithm (SSDA). …”
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Path planning algorithm for a car-like robot based on cell decomposition method
Published 2013“…This project proposes an obstacle avoiding path planning algorithm based on cell decomposition method for a car-like robot. …”
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A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification
Published 2009“…A summary sentence decomposition algorithm is then developed based on the heuristic rules. …”
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Internal defect detection and reconstruction framework for laminated glass fibre reinforced polymer composite materials
Published 2013“…(iii) The image ofthe defect region is reconstructed by using the attenuation of the reflected ultrasound signal (iv) Entropy-based fuzzy k-nearest neighbour classification method is used to extract the feature of the defects. …”
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An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition
Published 2011“…In order to use the algorithm effectively, users need to balance between detection accuracy and execution time. …”
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Signal detection algorithm for cognitive radio using singular value decomposition
Published 2011“…This paper highlights an algorithm for detecting the presence of wireless signal using the Singular Value Decomposition (SVD) technique.We simulated the algorithm to detect common digital signals in wireless communication to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in detecting a signal without knowing the properties of the transmitted signal.The performance of the algorithm is better compared to the favorable energy detection.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown.This is also the advantage of the algorithm since any signal would interfere and subsequently affect the quality of service (QoS) of the IEEE 802.22 connection.Furthermore, the algorithm performed better in the low signalto-noise ratio (SNR) environment.…”
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