Search Results - (( Parallel distribution a algorithm ) OR ( parallel distribution means algorithm ))
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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout's distributed machine-learning environment. …”
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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt
Published 2020“…Therefore, the execution time of the image processing algorithm is also an essential aspect of quality. This manuscript proposes a parallel k means for image processing (PKIP) algorithm using multiprocessing and distributed computing to assess the adhesion failure in WMA and HMA samples subjected to three different moisture sensitivity tests (dry, one, and three freeze-thaw cycles) and fractured by indirect tensile test. …”
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Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…Consequently, to handle these data, computer algorithms must adapt to their characteristics. Due to its massive volume, variety, and velocity, it contains a lot of insightful patterns. …”
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Dengue outbreak prediction: hybrid meta-heuristic model
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Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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Optimization of Workload Allocation Problem in a Network of Heterogeneous Computer Systems
Published 2005“…A new algorithm of workload allocation scheme using First Come First Serve discipline in conjunction with optimization of GE queueing systems is proposed for minimizing mean queue length and mean response time in a network of computer systems. …”
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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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An adaptive controller of hydro generators for smart grid application in Malaysia
Published 2010“…An intentional islanding operation or a planned islanding operation is feasible with the advance technologies introduced by a smart distribution system. …”
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Communication and computation rate-cheating problems in divisible load scheduling: revisited
Published 2015“…There is extensive literature concerning the Divisible Load Scheduling (DLS). It is a paradigm in the area of parallel and distributed computing. …”
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3d Morphing And Shape Transformation Using Slices
Published 2009“…Most of the existing shape transformation algorithms involve a lot of user intervention, do not scale well when the number of input objects is more than two and are not scalable in parallel and distributed computing environment whenever needed. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Therefore, we propose a prominent approach that integrates each of the NN, a meta-heuristic based on an evolutionary genetic algorithm (GA), and a core online-offline clustering (Core). …”
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Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
Published 2013“…There is Channel Estimation (CE) which consists of different statement to obtain high gain and a better performance of Bit Error Rate (BER). This is why the study of Mean Square Error (MSE) is made so that the technique can reduce the error and perform a better Bit Error Rate (BER). …”
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Multi-criteria divisible load scheduling in binary tree network
Published 2016“…The Divisible Load Theory (DLT) is a paradigm in the area of parallel and distributed computing. …”
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Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
Published 2023“…In this paper, an embedded parallel and distributed genetic algorithm (EPDGA) with dynamic parameter setting on a multiprocessor system is proposed. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…This implementation will be based on parallel distributed model, which will reduce the complexity of each microcontroller to solve large complex problem and increase problem solving speed. � 2008 IEEE.…”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…To implement the parallel algorithms a distributed parallel computing laboratory using easily available low cost computers is setup. …”
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Discretization of crack propagation on parallel computing : complexity and parallel algorithms with source code
Published 2010“…Parallel algorithm is used by Parallel Virtual Machine (PVM) software tool to capture the visualization of the overall extension and the stress distribution in a linearly tapered bar of circular section with an end load. …”
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Discretization of crack propagation on parallel computing: complexity and parallel algorithms with source code
Published 2010“…Parallel algorithm is used by Parallel Virtual Machine (PVM) software tool to capture the visualization of the overall extension and the stress distribution in a linearly tapered bar of circular section with an end load. …”
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Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
Published 2017“…To implement the parallel algorithm a distributed parallel computing system using MATLAB Distributed Computing Server (MDCS) is configured. …”
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