Search Results - (( data visualization _ algorithm ) OR ( data estimation method algorithm ))
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1
Parallel visualization approach of a 3D heart model
Published 2008“…The basis of this technique is that the location of an object is estimated using an estimation algorithm and the radio frequency (RF) fingerprint database as a reference. …”
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2
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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3
Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network
Published 2017“…MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. …”
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4
EEG-based brain source localization using visual stimuli
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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5
Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images
Published 2018“…The enhanced colours in the imaging data helps in corrosion estimation process. The image restoration and enhancement algorithm are tested on both experimentally collected as well as publicly available hazy underwater images. …”
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6
Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images
Published 2018“…The enhanced colours in the imaging data helps in corrosion estimation process. The image restoration and enhancement algorithm are tested on both experimentally collected as well as publicly available hazy underwater images. …”
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Subspace Techniques for Brain Signal Enhancement
Published 2009“…Next, the validity and the effectiveness of the algorithms to detect the P100's (used in objective assessment of visual pathways) are evaluated using real patient data collected from a hospital. …”
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8
Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction
Published 2013“…In the second experiment, the two algorithms are used to estimate the latency of P100 for objective evaluation of visual pathway conduction. …”
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9
Generalized Subspace Approach for Measurements of Visual Evoked Potentials
Published 2009“…The results of fifty real patient data further confirm that both GSAs are better estimators compared to the other studied techniques. …”
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10
Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials
Published 2010“…The results of fifty real patient data further confirm that both GSAs are better estimators compared to the other studied techniques. …”
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11
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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12
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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13
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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14
Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm
Published 2004“…The proposed technique based on the watershed algorithm, which is applied to the gradient magnitude of the MRI data. …”
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15
Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection
Published 2017“…The visual feedback and corrosion estimation rely on the same image data during the inspection of the pipeline, hence, reducing the complexity of the overall algorithm. …”
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16
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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17
A Salient Based Bag of Visual Word model (SBBoVW): improvements toward difficult object recognition and object location in image retrieval
Published 2016“…This method integrates SIFT features of the original and salient parts of pictures and fuses them together to generate better codebooks using bag of visual word method. …”
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18
EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method
Published 2018“…Therefore, in this study a coupled Multivariate Empirical Mode Decomposition (MEMD) with embedded automated artifact remover algorithm and inverse solution method is proposed. …”
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19
Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins
Published 2024“…Additionally, to predict the flood depth, a trained Decision Tree (DT)-based sorting algorithm is used in this method. This DT-based model takes 4 random rainfall data to train and predict the flood depth of the study area…”
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20
Hybrid sampling and random forest machine learning approach for software detect prediction
Published 2019“…Matplotlib, and PyPlot are used for graph and data visualization respectively. The hybrid sampling method and Random Forest (RF) algorithms achieved the highest prediction accuracy about 93.26% by showing its superiority.…”
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