Search Results - (( developing quantify selection algorithm ) OR ( java optimization techniques algorithm ))
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Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang
Published 2022“…The dissertation follows three objectives; to segment urban landmarks in an image, to develop an algorithm to quantify visual salience indicators for urban landmarks extraction, and to compare the performance of proposed algorithm in extracting urban landmarks between robot and human. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Scalable approach for mining association rules from structured XML data
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
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Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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Implementation of Color Filtering on FPGA
Published 2007“…The chosen image processing algorithm is a single Color Filtering algorithm. This work utilizes Altera DE2 development board empowered by the Cyclone II FPGA paired with a 1.3 Mega pixel CMOS camera from Terasik Technologies. …”
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An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Therefore, numerous factors and techniques have been used to optimize the prioritization process. …”
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Implementation of color filtering on FPGA
Published 2007“…The chosen image processing algorithm is a single Color Filtering algorithm. This work utilizes Altera DE2 development board empowered by the Cyclone II FPGA paired with a 1.3 Mega pixel CMOS camera from Terasik Technologies. …”
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Leveraging mechanomyography signal for quantitative muscle spasticity assessment of upper limb in neurological disorders using machine learning
Published 2024“…The test results determined the selection of twenty-five features from a total of forty-eight which be used to train an optimum classifier algorithm for the purpose of quantifying the level of muscle spasticity. …”
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Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis
Published 2024“…The model prediction performance shows an accuracy (R²P) of 0.9206 with RMSEP of 1.1410. Using CARS algorithm resulted in the selection of 21 optimal wavelengths that are highly associated with the moisture content of glutinous rice during the drying process and the developed PLS model based on the selected wavelength gave an increased model accuracy with R2CV and RMSECV of 0.9176 and 1.0986 respectively. …”
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Leveraging mechanomyography signal for quantitative muscle spasticity assessment of upper limb in neurological disorders using machine learning
Published 2024“…The test results determined the selection of twenty-five features from a total of forty-eight which be used to train an optimum classifier algorithm for the purpose of quantifying the level of muscle spasticity. …”
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Tracking using normalized cross correlation and color space
Published 2007“…In addition to the TDR being used as a metric to determine the accuracy of a tracking method, another metric was formulated to quantify the accuracy of a tracking algorithm. The metric developed was object tracking variance (OTV) and object tracking standard deviation (OTStd). …”
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