Search Results - (( parallel realization _ algorithm ) OR ( parallel distributed learning 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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Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
Published 2022“…In this paper, a parallel deep learning-based community detection method in large complex networks (CNs) is proposed. …”
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Parallel Processing of Forward-backward Time-stepping Method for Time Domain Inverse Scattering
Published 2008“…A cluster of 8 PCs is constructed and parallel processing is realized using MPI. A 3-D reconstruction of wooden hollow cylinder from the experimental data is examined by parallel FBTS algorithm. …”
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Grid portal technology for web based education of parallel computing courses, applications and researches
Published 2009“…This paper proposes the web service education technology for postgraduate parallel computing course, e-learning students, real-time solutions and for supervising projects related to the application of parallel computing, that focuses on the fundamental principles to parallel computer architecture, multimedia, communication cost, master-worker model, parallel algorithm, web services and performance evaluations. …”
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Parallel CFD Simulations of Multiphase Systems: Jet into a Cylindrical Bath and Rotary Drum on a Rectangular Bath.
Published 2001“…For commercial CFD packages, in many cases the solution algorithms are black boxes, even though parallel computing helps in many cases to overcome the limitations, as shown here. …”
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Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
Published 2015“…This was achieved by mitigating convergence in the genetic algorithms by employing a hierarchical parallel architecture. …”
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Improving parallel self-organizing map using heterogeneous uniform memory access / Muhammad Firdaus Mustapha
Published 2018“…Self-organizing Map (SOM) is a very popular algorithm that has been used as clustering algorithm and data exploration. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…New Iterative Alternating Group Explicit (NAGE) is a powerful parallel numerical algorithm for multidimensional temperature prediction. …”
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Efficient hardware design for palm-dorsa vein image enhancement
Published 2018“…For hardware design of thinning, parallel pipelined with Concurrent Condition Check Unit hardware architecture has been developed to enable the parallelism of the thinning algorithm. …”
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A modified artificial neural network (ANN) algorithm to control shunt active power filter (SAPF) for current harmonics reduction
Published 2013“…The novelty control design is an artificial neural network (ANN) adopting a modified mathematical algorithm (a modified delta rule weight-updating W-H) and a suitable alpha value (learning rate value) which determines the filters optimal operation. …”
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Application of inerter in passenger vehicle suspension systems / Soong Ming Foong
Published 2015“…Also, the practicality of a parallel inerter implementation was studied by investigating the feasibility of an inerter incorporating damping. …”
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Algebraic Net Class Rewriting Systems, Syntax and Semantics for Knowledge Representation and Automated Problem Solving
Published 2013“…New results are obtained within construction of problem solving systems where solution algorithms are derived parallel with other candidates applied to the same net classes. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Thus, using neural network-based semi-supervised stream data learning is inadequate due to capture the changes in the distribution and characteristics of various classes of data while avoiding the effect of the outdated stored knowledge in neural networks (NN). …”
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3D Prosthodontics Wire Bending Mechanism With A Linear Segmentation Algorithm
Published 2016“…In general,the accuracy of the bend is inconsistent and depends on many factors,mostly on the expertise of the bender.Hence,due to these limitations in the manual wire bending and some urgency to decrease the dependency on the bender’s competency,this article introduces a theoretical framework of the 3D linear segmentation algorithm to realize the proposed bending mechanism.…”
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Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia
Published 2024“…Even though the lowest reported performance was reported by the XGBoost, it is the faster of the three algorithms due to its advanced parallel processing capabilities and distributed computing architecture. …”
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Zero Algorithms for Avoiding Crosstalk in Optical Multistage Interconnection Network
Published 2005“…In Zero algorithms, there are three types of algorithms namely; The Zero X, Zero Y and zeroXY algorithms. …”
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Greedyzero-based scheduling algorithm to route in optical low stage interconnection networks
Published 2012“…Many algorithms have been designed to perform the routing better. …”
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Small-scale helicopter system identification model using recurrent neural networks
Published 2010“…This accuracy might be used to realize a reliable flight control for an autonomous helicopter.…”
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The Algorithm of Fear: Unpacking Prejudice Against AI and the Mistrust of Technology
Published 2024“…This review investigates the origins of this prejudice, focusing on the parallels between current attitudes toward AI and historical resistance to new technologies. …”
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