Search Results - parallel operation ((machine algorithm) OR (mining algorithm))*
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…This research opens a wide range of future work to be considered, which includes applying the proposed method in other areas such as web mining, text mining or multimedia mining; and extending the proposed approach to work in parallel computing in data mining.…”
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Guided genetic algorithm for solving unrelated parallel machine scheduling problem with additional resources
Published 2022“…This paper solved the unrelated parallel machine scheduling with additional resources (UPMR) problem. …”
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Review on unrelated parallel machine scheduling problem with additional resources
Published 2023“…This study deals with an unrelated parallel machine scheduling problem with additional resources (UPMR). …”
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Flexible job shop scheduling using priority heuristics and genetic algorithm
Published 2010“…The relevant operation is processed by only one of the uniform machines in that stage. …”
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Minimizing machining airtime motion with an ant colony algorithm
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Tool path generation of contour parallel based on ant colony optimisation
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ROA-CONS: raccoon optimization job scheduling
Published 2021“…An optimised schedule results in greater efficiency of the parallel machine. In addition, processes and network heterogeneity is another difficulty for the scheduling algorithm. …”
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New Quarter-Sweep-Based Accelerated Over-Relaxation Iterative Algorithms and their Parallel Implementations in Solving the 2D Poisson Equation
Published 2010“…Newly developed parallel AOR QS and AOR MEG methods for distributed mem-ory parallel machine are shown to be eficient for large sparse matrices, which occur in large sizes of problem. …”
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Modular robotic platform for autonomous machining
Published 2019“…One of the ways to fabricate miniaturised product is micromachining using sophisticated computer numerically controlled (CNC) machine tools. However, conventional CNC machines are bulky, stationary, and unable to carry out parallel operations. …”
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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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A parallel ensemble learning model for fault detection and diagnosis of industrial machinery
Published 2023“…Accurate fault detection and diagnosis (FDD) is critical to ensure the safe and reliable operation of industrial machines. Deep learning has recently emerged as effective methods for machine FDD applications. …”
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Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
Published 2022“…Machine learning algorithms have widely been adopted recently to enhance the performance of IDSs. …”
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A study of the high-performance computing parallelism in solving complexity of meteorology data and calculations
Published 2024“…It is associated with utilizing HPC parallelism to simultaneously execute multiple tasks or operations for meteorological research. …”
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Parallel processing in Compute Unified Device Architecture (CUDA) for energy saving glass
Published 2014“…In order to develop a complex coating structure, genetic algorithm technique is used in this research. However, genetic algorithm require a fast processing speed in order to cope with the process of creating new chromosome from the population and undergoes the selection, crossover and mutation operation processes. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…These complex systems have designed to solve various types of problems from different areas, resulting in high-demanding Heterogeneous Parallel Applications (HPAs). HPAs use parallel processors and assist in parallel execution of tasks with complex interdependency between data and operations. …”
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Automatic generic process migration system in linux
Published 2012“…A fexible interface to the underlying checkpoint/ restart subsystem is designed which permits users to specify the migration mechanism according to process constraints. A migration algorithm is designed which attempts to exploit the unique features of the basic migration algorithms to form a generic algorithm. …”
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…The central challenge in Automatic Text Summarization (ATS) is efficiently generating machine-generated text summaries through optimization algorithms, a critical component for systems dealing with textual information processing. …”
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