Search Results - (( based estimation method algorithm ) OR ( data visualization study algorithm ))
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EEG-based brain source localization using visual stimuli
Published 2016“…In this research study, EEG data is collected by providing visual stimulus to healthy subjects. …”
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2
Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network
Published 2017“…General linear model (GLM) is used to find the unknown parameters of every individual voxel and the classification is done using multi-class support vector machine (SVM). MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. …”
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3
Subspace Techniques for Brain Signal Enhancement
Published 2009“…Further, the subspace methods under study are applied to estimate visual evoked potentials (VEPs) which are highly corrupted by spontaneous electroencephalogram (EEG) signals. …”
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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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5
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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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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7
A Salient Based Bag of Visual Word model (SBBoVW): improvements toward difficult object recognition and object location in image retrieval
Published 2016“…Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. …”
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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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9
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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10
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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11
Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review
Published 2022“…Background: Forensic odontology may require a visual or clinical method during identification. Sometimes it may require forensic experts to refer to the existing technique to identify individuals, for example, by using the atlas to estimate the dental age. …”
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Improved robust estimator and clustering procedures for multivariate outliers detection
Published 2023“…Hence, the main objective of this study is to propose a robust estimator in order to develop an improved procedure for detecting outliers in multivariate data using robust clustering-based methods. …”
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13
Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques
Published 2022“…Water level estimation was predicted based on the elevations from LiDAR data. …”
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14
Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique
Published 2005“…Results obtained by this technique are compared with the Jabatan Kerja Raya manual using conventional method to check accuracy. The algorithms developed in this study are capable of identifying type of cracking and its severity level at the accuracy about 90%. …”
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15
High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor
Published 2024“…The Principal Component Analysis (PCA) technique was employed to choose relevant environmental variables as input for the machine learning model, and various imputation methods were utilized to manage missing data, such as mean imputation and the KNN algorithm. …”
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A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum
Published 2015“…This study investigates denoising of the hyperspectral vegetation spectrum using different wavelet-based methods. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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18
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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19
3D multimodal cardiac data reconstruction using computerized tomographic angiography and x-ray angiography registration
Published 2016“…The second contribution is related to propose a fast and accurate method for 3D main coronary artery segmentation and labeling from CT Angiography based on the proposed Intersection Tracking method and Improved vesselness filter. …”
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20
Using the line array representation as an alternative method for understanding whole number multiplication among primary students
Published 2015“…The design is based on 'QUAL" quan Sequential Exploratory Design' which has given priority to the qualitative aspect of the study. …”
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