Search Results - (( parallel distribution issues algorithm ) OR ( probable distribution mining algorithm ))*
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…This work is focused on the implementation of evolutionary based computer algorithms, genetic algorithms (GAs), on microcontrollers. …”
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The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The main objective of this study is to visualize the brain tumors’ growth in three-dimensional and implement the algorithm on distributed parallel computer systems. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…The first step lies at the modelling of parallel applications running on heterogeneous parallel computers. …”
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Thesis -
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…The proposed algorithm is grounded on the two famous metaheuristic algorithms: cuckoo search (CS) and covariance matrix adaptation evolution strategy (CMA-es). …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production
Published 2024“…In this proposed approach, fuzziness is handled using fuzzy numbers, and randomness is addressed through probability distributions. The efficacy of this approach is demonstrated in agricultural planning, evaluating five distinct industrial production types: Agriculture, Mining, Manufacturing, Electricity, and Water. …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production
Published 2024“…In this proposed approach, fuzziness is handled using fuzzy numbers, and randomness is addressed through probability distributions. The efficacy of this approach is demonstrated in agricultural planning, evaluating five distinct industrial production types: Agriculture, Mining, Manufacturing, Electricity, and Water. …”
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…One uses Standard Genetic Algorithm (SGA), the second strategy uses Improved Adaptive Genetic Algorithm (IAGA). …”
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Thesis -
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Adaptive resource allocation for reliable performance in heterogeneous distributed systems.
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Book Section -
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…A highly parallel approach based on simple inter-map conjunctions, or correspondence distributions, is chosen and tested on synthetic and real patterns. …”
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An adaptive controller of hydro generators for smart grid application in Malaysia
Published 2010“…The controller has been modeled considering the existing Malaysia' distribution network of mini hydro power plant connected in parallel to the grid. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Two publicly activity datasets are used; Wireless Sensor Data Mining (WISDM) and Physical Activity Monitoring for Aging People (PAMAP2). …”
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Thesis -
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A study on performance evaluation of conventional cache replacement algorithms: A review
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3d Morphing And Shape Transformation Using Slices
Published 2009“…This thesis addresses the above-mentioned issues by proposing a novel 3D morphing algorithm using slices. …”
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Thesis -
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Critical insight for MAPReduce optimization in Hadoop
Published 2014“…Achieving an optimal approach for higher performance in terms of efficient load balancing, load distribution, optimum resource utilization, minimum overheads and least possible delay has been the vital issue for cloud infrastructure. …”
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Random sampling method of large-scale graph data classification
Published 2024“…After that, we randomly select a subset of data blocks, each being a random sample of the graph dataset, and compute the different graph property distributions. Since the data blocks in this model are much smaller than the entire data set, it is more efficient to analyze them on a standalone small machine, and multiple data blocks can be analyzed on multiple nodes of the cluster in parallel. …”
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