Showing 1 - 20 results of 50 for search '(( binary image codon optimization algorithm ) OR ( lines based scale simulation algorithm ))', query time: 0.53s Refine Results
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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 by Hao Wu (65943)

    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. by Yawen Zhong (2342206)

    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. by Yawen Zhong (2342206)

    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. by Yawen Zhong (2342206)

    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. by Marta Sanvicente-García (12306659)

    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. by Fadi K. Dib (5204807)

    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. by Fadi K. Dib (5204807)

    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. by Yawen Zhong (2342206)

    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 - by Yawen Zhong (2342206)

    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. by Yawen Zhong (2342206)

    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. …”