Search alternatives:
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
scale simulation » carlo simulation (Expand Search), scale population (Expand Search), based simulation (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based scale » based small (Expand Search), based state (Expand Search), based sample (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
scale simulation » carlo simulation (Expand Search), scale population (Expand Search), based simulation (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based scale » based small (Expand Search), based state (Expand Search), based sample (Expand Search)
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A new method for identifying a fault in T-connected lines based on multiscale S-transform energy entropy and an extreme learning machine
Published 2019“…<div><p>Due to the characteristics of T-connection transmission lines, a new method for T-connection transmission lines fault identification based on current reverse travelling wave multi-scale S-transformation energy entropy and limit learning machine is proposed. …”
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Simulation results of random fault test.
Published 2023“…To improve the accuracy and reliability of fault diagnosis of T-connection transmission lines, a new method is proposed to identify specific faulty branches of T-connection transmission lines based on multi-scale traveling wave reactive power and random forest. …”
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Power line configuration.
Published 2023“…To improve the accuracy and reliability of fault diagnosis of T-connection transmission lines, a new method is proposed to identify specific faulty branches of T-connection transmission lines based on multi-scale traveling wave reactive power and random forest. …”
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500kV T-Connection transmission line.
Published 2023“…To improve the accuracy and reliability of fault diagnosis of T-connection transmission lines, a new method is proposed to identify specific faulty branches of T-connection transmission lines based on multi-scale traveling wave reactive power and random forest. …”
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CRISPR-A capabilities for analysis and simulation of CRISPR-based experiments.
Published 2023“…B) Diagram of CRISPR-A simulation pipeline. Simulation is based on the fitting of multiple parameters that describe the distribution of edits and their characteristics and proportions. …”
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Description of the real-world dataset.
Published 2023“…<div><p>Graph drawing, involving the automatic layout of graphs, is vital for clear data visualization and interpretation but poses challenges due to the optimization of a multi-metric objective function, an area where current search-based methods seek improvement. In this paper, we investigate the performance of Jaya algorithm for automatic graph layout with straight lines. …”
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Screenshot of our visualization tool MGDrawVis.
Published 2023“…<div><p>Graph drawing, involving the automatic layout of graphs, is vital for clear data visualization and interpretation but poses challenges due to the optimization of a multi-metric objective function, an area where current search-based methods seek improvement. In this paper, we investigate the performance of Jaya algorithm for automatic graph layout with straight lines. …”
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Parameters of the system.
Published 2023“…To improve the accuracy and reliability of fault diagnosis of T-connection transmission lines, a new method is proposed to identify specific faulty branches of T-connection transmission lines based on multi-scale traveling wave reactive power and random forest. …”
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S1 Fig -
Published 2023“…To improve the accuracy and reliability of fault diagnosis of T-connection transmission lines, a new method is proposed to identify specific faulty branches of T-connection transmission lines based on multi-scale traveling wave reactive power and random forest. …”
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Train sample set.
Published 2023“…To improve the accuracy and reliability of fault diagnosis of T-connection transmission lines, a new method is proposed to identify specific faulty branches of T-connection transmission lines based on multi-scale traveling wave reactive power and random forest. …”