Search Results - (( java application optimization algorithm ) OR ( data evaluation force algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Ant colony optimization algorithm for load balancing in grid computing
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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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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…The manual and automated data were compared by evaluating their percentage difference, arithmetic mean (AM), and standard deviation (SD). …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…The manual and automated data were compared by evaluating their percentage difference, arithmetic mean (AM), and standard deviation (SD). …”
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Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm
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Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…A total of 206 negative lightning return strokes waveforms were analysed and automatically characterised using the proposed algorithm. Comparisons of different data, including the manual data (i.e. obtained through the conventional method), data (automated) from a previous study, and the automated data (i.e. obtained using the proposed algorithm), were also carried out by evaluating the percentage difference, arithmetic mean, and standard deviation. …”
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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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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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Evaluation of automated phonetic labeling and segmentation for dyslexic children’s speech
Published 2013“…This is due to the highly phonetically similar reading errors produced when they read that have affected automatic speech recognition (ASR).In this work, experiments were performed using a specifically designed ASR to force-align the read speech and produce the labels and segmentations automatically.The CSLU toolkit’s force alignment algorithm has been employed to measure their performances.Selected speech data of dyslexic children’s reading in Malay were fed to the algorithm as input and the evaluation resulted in 95% agreement on phonetic labeling and only 65% on segmentation with respect to the manual ones.…”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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