Search Results - parallel using value algorithm*
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Parallel execution of diagonally implicit Runge-Kutta methods for solving IVPs.
Published 2009“…In this paper we used DIRK methods which are specifically designed for parallel execution to solve a set of initial value problems. …”
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Parallel Block Methods for Solving Ordinary Differential Equations
Published 2004“…The new codes were then used for the parallel implementation in solving large systems of first and higher order ODEs. …”
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Parallel implementation on improved error signal of backpropagation algorithm
Published 2001“…The experiments are implemented using the Sequent Symmetry SE30 parallel machine. …”
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Parallel block methods for solving higher order ordinary differential equations directly
Published 1999“…A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
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Solving ordinary differential equations using block multistep method
Published 2011“…An eficient code based on block multistep method is developed for solving first and higher order initial value problems (IVPs) of ordinary differential equations (ODEs) using variable step size strategy. …”
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PID Parameters Improvement for AGC in Three Parallel-Connected Power Systems
Published 2016“…Integral Square Error (ISE) is considered as an objective function for both algorithms to determine its performance index value for the same parallel-connected power system. …”
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A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
Published 2023“…We first extracted the emotion features from speech and calculated the F-Emotion value for each feature. These values were then used to determine the combination of speech emotion features that was optimal for speech emotion recognition. …”
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A parallel-model speech emotion recognition network based on feature clustering
Published 2023“…We first extracted the emotion features from speech and calculated the F-Emotion value for each feature. These values were then used to determine the combination of speech emotion features that was optimal for speech emotion recognition. …”
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Partitioning techniques and their parallelization for stiff system of ordinary differential equations
Published 2007“…Parallelizing the right algorithm in the partitioning code will give a better perfonnance with shorter execution times. …”
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Parallel Kalman filter-based multi-human tracking in surveillance video
Published 2014“…A Kalman filter is a recursive algorithm which predict the state variables and further uses the observed data to correct the predicted value. …”
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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…After classifying the time set using the canopy with the K-means algorithm and the vector representation weighted by factors, the clustering impact is assessed using purity, precision, recall, and F value. …”
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Block Multistep Methods for Solving Ordinary Differential Equations
Published 2006“…Finally, this thesis deals with parallel numerical algorithms for the solution of systems of ODEs. …”
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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Application of inerter in passenger vehicle suspension systems / Soong Ming Foong
Published 2015“…However, presently two issues limiting its application in passenger vehicle suspensions are the non-prominent ride improvement for some studied suspension layouts such as the parallel layout using parameter values in the passenger vehicle’s range, and the practical considerations of its physical implementation. …”
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…As the total objective values in most of problems could not be improved by simulated algorithm, it proved the well performing of proposed intelligence based genetic algorithm in reaching the near optimal solutions.…”
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Effect of contour interval on minimization of tool path length in pocket milling process
Published 2020“…Decreasing machining time in process of milling using contour parallel direction as a strategy of machining can be achieved by increasing the value of tool path interval. …”
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Parallel visualization approach of a 3D heart model
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Development of a parallel clustering of bilingual corpora based on reduced terms
Published 2015“…A set of relevant terms will be selected based on the GA based terms selection process. The parallel mapping percentages show an improvement when the number of terms reduced using the GA with different mutation rate.…”
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…Additionally, when the input size is tripled, the parallel multi-core MODE/D achieves a 7.9 speedup with 98.98% efficiency under static scheduling. …”
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