Search Results - (( data extraction methods algorithm ) OR ( time estimation method algorithm ))
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Scene illumination classification based on histogram quartering of CIE-Y component
Published 2014“…Those algorithms which performed estimation carrying out lots of calculation that leads in expensive methods in terms of computing resources. …”
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…This problem is addressed by proposing an accurate and robust centerline extraction method. Starting at each detected seed point, the centerline extraction method utilizes eigenvalues and eigenvectors of Hessian matrix for the pixels located on a semi-circular scanning profile for robust estimation of the next centerline point. …”
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Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction
Published 2013“…The conventional method of ensemble averaging (EA) does improve the SNR, but at the expense of longer recording time. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor can provide color and texture information for easy data and feature extraction. Based on literature, stereo algorithm is already being implemented to solve the distance measurement problem. …”
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Secondly, the modeling method of the proposed PV module is validated by experimental data. …”
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Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti
Published 2022“…These results confirmed that the UAV is a very useful form of technology in road maintenance applications, at the same time, contributing in alternative method of pothole information extraction. …”
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Generalized Subspace Approach for Measurements of Visual Evoked Potentials
Published 2009“…The results of comprehensively simulated data involving SNR from 0 to -11 dB indicate that the GSA schemes outperform the other three methods. …”
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Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials
Published 2010“…The results of comprehensively simulated data involving SNR from 0 to -11 dB indicate that the GSA schemes outperform the other three methods. …”
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…Although, there are adaptive forms of independent feature extraction methods such as principle component analysis (PCA), linear discriminant analysis (LDA) and independent component analysis (ICA) to transform the training patterns to low dimensional space and/or improve the classifiers accuracy, they suffer from nonparametric changes in data over time. …”
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A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise
Published 2010“…The simulation results produced by the post-modified SSA2 algorithm, show a higher degree of consistencies in detecting the VEP's P100, P200, and P300 peaks, in comparisons to the pre-modified SSA1 method. …”
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Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…Parallel imaging is a robust method for accelerating the data acquisition in Magnetic Resonance Imaging (MRI). …”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…This study aimed to explore the performance of different pre-processing methods, namely Fast Fourier Transform, Short-Time Fourier Transform, Discrete Wavelet Transform, and Continuous Wavelet Transform (CWT) that could allow TL models to extract features from the images generated and classify through selected classical ML algorithms . …”
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Enhancement of semi-automated lineament extraction from IRS- 1B satellite images for part of Himalayan region
Published 2010“…Efforts have been made to evaluate the techniques as a fast algorithm for quick and time limited analysis of lineaments from which their orientations are estimated. …”
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Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…Results were compared with extant disparity map estimation techniques, such as graph cut, dynamic programming, belief propagation, and area-based methods. …”
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Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…Results were compared with extant disparity map estimation techniques, such as graph cut, dynamic programming, belief propagation, and area-based methods. …”
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A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials
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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A new search and extraction technique for motion capture data
Published 2008“…The process of identification and extraction of logically related motions scattered within the data set called content-based retrieval method was performed to return results to the user. …”
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Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…These sensors are pre-processed and different feature sets such as time domain, frequency domain, wavelet transform are extracted and transform using machine learning algorithm for human activity classification and monitoring. …”
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