Search Results - (( based estimation method algorithm ) OR ( time visualization using algorithm ))
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1
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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2
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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3
Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation
Published 2014“…In this study the result shows that the proposed denoising algorithm based on semi-soft threshold algorithm outperforms the traditional wavelet denoising techniques in terms of visual quality and subjective scales, where it preserved the edges, ridges details of the reconstructed image and the quality of visualization shape as well. …”
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4
EEG-based brain source localization using visual stimuli
Published 2016“…The tables are also provided to describe the intensity levels for estimated current level for the inverse methods used. …”
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5
A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies
Published 2010“…An optimization and eigen-decomposition-based subspace approach has been investigated and tested to estimate the latencies of visual evoked potential (VEP) signals which are highly corrupted by spontaneous electro-encephalogram (EEG) waveforms that can be considered as colored noise. …”
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Citation Index Journal -
6
Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images
Published 2018“…This paper presents a new method for subsea pipeline corrosion estimation by using colour information of corroded pipe. …”
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7
Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images
Published 2018“…This paper presents a new method for subsea pipeline corrosion estimation by using colour information of corroded pipe. …”
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8
Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…The most important task for any autonomous mobile vehicle is the reliable estimation of its position over time. Visual odometry (VO) is a localization technique that estimates the position of a robot using only the stream of images acquired from a camera. …”
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9
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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Citation Index Journal -
10
Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution
Published 2006“…A gain-based correction method; probability density function model are used to cluster white and gray matters, cerebrospinal fluid, and meninges. …”
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11
Use of level specific ce-chirp auditory brainstem response with high rates and objective algorithm in infants population
Published 2021“…It is hypothesized that the ABR to LS CE Chirp combined with a high stimulus repetition rate and the objective algorithm will have a shorter test-time, larger amplitudes, and lower ABR threshold than the ABR to click stimulus, low stimulus repetition rate and wave identification using visual detection. …”
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Proceeding Paper -
12
Generalized Subspace Approach for Measurements of Visual Evoked Potentials
Published 2009“…As such, a VEP estimation scheme based on a single VEP trial which minimizes the information loss and reduces VEP recording time, is highly desirable. …”
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13
Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials
Published 2010“…As such, a VEP estimation scheme based on a single VEP trial which minimizes the information loss and reduces VEP recording time, is highly desirable. …”
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14
A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise
Published 2010“…They also reported that the utilization of the eigenvector and eigenvalue matrices in the time-domain constrained estimator would result in the optimal estimation of speech corrupted by colored noise. …”
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Citation Index Journal -
15
A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials
Published 2011“…Alternatively, a VEP estimation scheme based on a single VEP trial can be developed to reduce VEP recording time and minimize fatigue on subjects. …”
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Conference or Workshop Item -
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Detecting and evaluating surface crack defect of building structure and infrastructure elements using Digital Image Processing approach / Nursyafiqah Razmi
Published 2018“…The current surface crack detection and length assessment on the damaged structures using the visual inspection method is conducted using manual observation based on trained eye's building inspector. …”
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Student Project -
17
Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins
Published 2024“…So, in this research, a real-time flood inundation map (FIM) is used to develop the ML-based visualization (ML_V) method to characterize the collected dataset. …”
Book chapter -
18
Deep Reinforcement Learning For Control
Published 2021“…In essence, the method is to use a reward-based learning environment to watch how the agent makes decisions. …”
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Monograph -
19
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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20
Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…In order to reduce the training time and computational cost of the algorithm, Principal Components Analysis (PCA) pretraining strategy is deployed to obtain data adaptive filter banks. …”
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Thesis