Search Results - (( based extraction method algorithm ) OR ( rate estimation method algorithm ))
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Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Published 2019“…The results of three experiments demonstrate that our algorithm substantially outperforms all previous methods. …”
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Parameter extraction of photovoltaic module using hybrid evolutionary algorithm
Published 2023Conference Paper -
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Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction
Published 2013“…The results indicate close performance by the proposed technique to EA in terms of bias and failure rate. Conclusion: A multi-trial subspace-based algorithm is proposed to extract the VEPs from the brain background colored noise. …”
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Single-trial visual evoked potential extraction using partial least-squares-based approach
Published 2016“…A single-trial extraction of a visual evoked potential (VEP) signal based on the partial least-squares (PLS) regression method has been proposed in this paper. …”
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Single-trial visual evoked potential extraction using partial least-squares-based approach
Published 2016“…A single-trial extraction of a visual evoked potential (VEP) signal based on the partial least-squares (PLS) regression method has been proposed in this paper. …”
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Signal quality measures for pulse oximetry through waveform morphology analysis
Published 2011“…A mean κ of 0.64 ± 0.22 was obtained, while the mean sensitivity, specificity and accuracy were 89 ± 10%, 77 ± 19% and 83 ± 11%, respectively. Furthermore, a heart rate estimate, extracted from uncontaminated sections of PPG, as identified by the algorithm, was compared with the heart rate derived from an uncontaminated simultaneous ECG signal. …”
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Region duplication forgery detection technique based on keypoint matching / Diaa Mohammed Hassan Uliyan
Published 2016“…The average detection rate of our algorithm maintained 96 % true positive rate and 7 % false positive rate which outperform several current detection methods. …”
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Thesis -
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Subspace Techniques for Brain Signal Enhancement
Published 2009“…Both the simulation and real human data show that the subspace methods generate reasonably low errors and high success rate. …”
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Book Section -
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Firstly, an improved EM (IEM) algorithm is presented to estimate the five parameters of the single PV-module system. …”
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Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis
Published 2016“…The Hessian-Based Filter is used to enhance wrinkle analysis for age range estimation method. …”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…The estimation of unknown PDF is a common problem and in this study Gaussian kernel function which is most widely used nonparametric density estimation method has been used for PDF calculation. …”
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Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
Published 2024“…Following a thorough examination of numerous algorithms, CNN was determined to be the best effective method for age recognition from facial features due to its ability to automatically extract important data. …”
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Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques
Published 2018“…This rPPG signal could perform better as compared to the standard vital signs estimation methods. The Inter beat interval (IBI) based on maximum peak detection approach has been used for heart rate variability estimation. …”
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Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
Published 2025“…In addition, to validate the prediction performance of the proposed LSA + LSTM model, extensive comparisons are performed with other popular optimization-based deep learning methods including artificial bee colony (ABC) based LSTM (ABC + LSTM), gravitational search algorithm (GSA) based LSTM (GSA + LSTM), and particle swarm optimization (PSO) based LSTM (PSO + LSTM) model using different error matrices. …”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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Ensemble averaging subspace-based approach for ERP extraction
Published 2013“…A novel approach based on Subspace methods is proposed for extracting the Event Related Potentials (ERPs) from the background Electroencephalograph (EEG) colored noise. …”
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Dental Age Estimation Using a Convolutional Neural Network Algorithm on Panoramic Radiographs: A Pilot Study in Indonesia
Published 2025journal::journal article -
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Comparisons of Signal Subspace Methods for Estimating Visual Evoked Potentials
Published 2008“…These algorithms denoted as Signal Subspace Method 1 (SSM1) and Signal Subspace Method 2 (SSM2) are able to satisfactorily extract the P100, P200 and P300 peak latencies from artificially generated noisy VEPs subjected to SNRs from 0 to -10 dB. …”
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