Search Results - parallel generation ((model algorithm) OR (window algorithm))
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The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The growth of the brain tumor through angiogenic process is described as parabolic model in partial differential equations. The discretization of the three-dimensional parabolic equations for the brain tumor’s growth mathematical model using a numerical finite-difference method will be implemented from the previous study of two dimensional model and thus a parallelization of algorithm simulation to computational resources based on high-performance computing systems will be used to generate the growth of the brain tumor in three dimensional. …”
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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Parallelization of speech compression based algorithm based on human auditory system on multicore system
Published 2012“…To achieve a scalable parallel speech coding algorithm, single program multiple data (SPMD) programming model was used, in which a single program was written for all cores. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…Similarly, when data parallelism is introduced in the algorithm the performance of the algorithm improved further by 12% in latency and 17% in throughput when compared to PDWA algorithm. …”
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A study of the high-performance computing parallelism in solving complexity of meteorology data and calculations
Published 2024“…Our investigation elaborates on, identifies, and analyzes the features and characteristics of parallel computing that are utilized in it. The paper also focuses on examining parallelization modeling, the algorithms involved, and optimization strategies employed in HPC-enabled meteorological simulations. …”
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Active contour model on digital mammograms using low-cost parallel computing systems
Published 2009“…This system will generate the output in shorter periods as compared with sequential computing systems. …”
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Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…As far as the single stuck-at fault model is considered, efficient algorithms have been devised for combinational circuit. …”
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A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…The main idea behind this hybridization is to improve the BA by using the PSOA in parallel to replace the suboptimal solution generated by the BA. …”
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…The derived model was rigorously compared to four models, including basic ELM, basic FLN, Reduce Kernel ELM (RK-ELM), and RK-FLN. …”
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Three phase induction motor coupled to DC motor in hybrid electric vehicle application
Published 2011“…The machine is belt-coupled to a diesel engine in a series-parallel 2×2 HEV. The DC electric drive is developed for engine starting, generating and motoring. …”
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Adaptive genetic algorithm to improve negotiation process by agents e-commerce
Published 2011“…The proposed adaptive negotiation model is named Aspirated Genetic Algorithm (AGA) negotiation model which is a hybrid negotiation system composed of different negotiation strategies, Aspiration concept,genetic algorithm and Bayesian learning. …”
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Data discovery algorithm for scientific data grid environment
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…These rules consist of conditions over attribute value pairs called the descriptions, and decision attributes. Therefore generating a good decision model or classification model is a major component in many data mining researches. …”
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Generic DNA encoding design scheme to solve combinatorial problems
Published 2015“…However, DNA computing can solve the problem in linear time since the parallel processing power of DNA computing is able to generate a solution in a single process. …”
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Application of inerter in passenger vehicle suspension systems / Soong Ming Foong
Published 2015“…In the second part, the use of semi-active switching algorithm on an inerter showed greater ride improvement of up to 12 % than that brought by passive inerter, while the non-linearity which was also modeled as switching law for the inerter managed better sprung mass transient response. …”
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