Search Results - ((((reconstruction algorithm) OR (evolution algorithm))) OR (detection algorithm))
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1
Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…Three soft computing techniques namely Genetic Algorithm (GA), Differential Evolution (DE) and Particle Swarm Optimization (PSO) are utilized for the desired manipulation of curves and surfaces. …”
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Thesis -
2
Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT
Published 2023“…Results demonstrate that both OSEM and HYPER DPR reconstruction algorithms in digital PET-CT has greater spatial resolution, increased detection sensitivity and less image noise when compared to analog PET-CT. …”
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Article -
3
An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks.…”
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4
Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional
Published 2006“…This study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code and Vertex chain code algorithm as picture description language, and a new computational algorithm and neural network classifier for corner detection. …”
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Monograph -
5
Fitness value based evolution algorithm approach for text steganalysis model
Published 2013“…In this paper, we present a new alternative method for text steganalysis based on an evolution algorithm, implemented using the Java Evolution Algorithms Package (JEAP).The main objective of this paper is to detect the existence of hidden messages ased on fitness values of a text description.It is found that the detection performance has been influenced by two groups of fitness values which are good fitness value and bad fitness value. …”
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6
Text steganalysis using evolution algorithm approach
Published 2012“…This study presents a new alternative of steganalysis method in order to detect hidden messages in text steganalysis called Evolution Detection Steganalysis System (EDSS) based on the evolution algorithm approach under Java Genetic Algorithms Package (JGAP). …”
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Conference or Workshop Item -
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A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach
Published 2012“…Therefore, this research employed a detection factor based on the evolution algorithm method for text steganalysis. …”
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8
A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising
Published 2015“…A modified crossover scheme called rand-length crossover was designed to fit the proposed variable-length DE, and the new DE algorithm is referred to as the random variable-length crossover differential evolution (rvlx-DE) algorithm. …”
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9
Enhanced algorithms for three-dimensional object interpreter
Published 2004“…The aim of this study is to propose enhanced algorithms to be used to interpret and reconstruct a sketch, and then to produce a threedimensional model. …”
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Thesis -
10
LEVEL-BASED CORRESPONDENCE APPROACH TO COMPUTATIONAL STEREO
Published 2010“…By comparing current local correspondence method and discussing their weakness and strength, this research tries to enhance an algorithm to improve previous works to achieve fast detection, less costly and acceptable accuracy to meet the requirement of reconstruction. …”
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11
Robust multi-user detection based on hybrid grey wolf optimization
Published 2020“…In this paper, a novel hybrid Grey wolf optimization and differential evolution algorithm robust multi-user detection algorithm is proposed to overcome the problem of high bit error rate (BER) in multi-user detection under impulse noise environment. …”
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Book Chapter -
12
Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device
Published 2024Subjects:Article -
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Charge-coupled device based on optical tomography system for monitoring two-phase flow
Published 2024Subjects:Article -
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CT reconstruction algorithm and low contrast detectability of phantom study: a systematic review and meta-analysis
Published 2022“…Methods: In this study, a systematic review and a meta-analysis study were conducted on CT phantom for resolution study especially based on the low contrast detectability (LCD). Furthermore, the association between the CT parameter such as tube voltage and the type of reconstruction algorithm, the amount of phantom scanning affecting the image quality and the exposure dose were also investigated in this study. …”
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15
Shape Reconstruction using Overset Grid Generation Method with an Iterative Inversion Technique
Published 2020“…The reconstruction results demonstrated that the FBTS technique utilizing OGG-FDTD method has the ability to detect and reconstructed embedded object.…”
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16
Extraction and reconstruction of retinal vasculature
Published 2007“…This paper presents the development of an image processing algorithm for detecting and reconstructing retinal vasculature. …”
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Citation Index Journal -
17
Image reconstruction for solid profile measurement in ERT using non-invasive approach
Published 2017“…Image reconstruction software and its image reconstruction algorithm are an important step towards constructing a tomography system. …”
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Qualitative and quantitative accuracy evaluation of 18f-fdg PET/CT with TOF and NON-TOF system on beta value in BPL reconstruction
Published 2024“…Q.Clear, a Bayesian Penalised Likelihood (BPL) algorithm, has demonstrated notable advancements in clinical image quality and quantification, particularly in detecting subtle abnormalities. …”
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Monograph -
19
A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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20
Differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…This paper looks at the feasibility of using the differential evolution algorithm to estimate the linear frequency modulation received signal parameters for radar signal denoising. …”
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Conference or Workshop Item
