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  1. 241

    Microstructure Formation and Dry Reciprocating Sliding Wear Response of High-Entropy Hypereutectic White Cast Irons by Willian Martins Pasini, Wojciech Polkowski, Tomasz Dudziak, Carlos Alexandre dos Santos, Vinicius Karlinski de Barcellos

    Published 2024-12-01
    “…The results demonstrate that high-entropy white cast iron (HEWCI), particularly those enriched with carbide-forming elements, exhibit superior abrasion resistance compared to conventional high-chromium cast irons. …”
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    Influencing Factors of University Core Competence: An Empirical Study Based on the Entropy Weight Gray Relation Model by Yongqing Shi, Xiaojiang Yang

    Published 2021-01-01
    “…To measure the gray relation between the core competence of research universities and its influencing factors, this paper took the same period statistical data of the five research universities directly subordinate to the Ministry of Education of China as the research samples, all these five schools were shortlisted in the “World Top 300” rankings of USNews, QS, THE, and ARWU from 2014 to 2018, and the indicator systems of the four authoritative lists were taken as the basis; 30 representative indicators affecting the core competence of research universities were selected, and the gray relation model was adopted for the research; moreover, this paper applied the information entropy method to calculate the weight of each indicator and estimate the comprehensive gray relation between the core competence of research universities and the entire factor system. …”
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  5. 245

    Machines’ Intelligent Fault Diagnosis Based on Hierarchical Refined Composite Generalized Multiscale Fluctuation Dispersion Entropy by Biwen Chen, Changsheng Chen, Zhenlai Ma, Guoping Li, Yi Zhang, Baoyue Li

    Published 2024-01-01
    “…This study proposes a novel signal vibration feature extraction method called hierarchical refined composite generalized multiscale fluctuation dispersion entropy (HRCGMFDE). This method simultaneously extracts fault information from both low-frequency and high-frequency components of the data, addressing the drawback of high-frequency information loss in refined composite generalized multiscale fluctuation dispersion entropy (RCMFDE). …”
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    Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models by Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo

    Published 2017-01-01
    “…The most common approach to assess the dynamical complexity of a time series across multiple temporal scales makes use of the multiscale entropy (MSE) and refined MSE (RMSE) measures. In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. …”
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    Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering by Tianjing He, Rongzhen Zhao, Yaochun Wu, Chao Yang

    Published 2021-01-01
    “…To tackle this problem, this paper proposes a novel fault identification method based on improved variational mode decomposition (IVMD), multiscale permutation entropy (MPE), and adaptive GG clustering. Firstly, the original vibration signal is decomposed into a set of mode components adaptively by IVMD, and the mode components that are highly correlated with the original signal are selected to reconstruct the original signal. …”
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    Information Flow from COVID-19 Pandemic to Islamic and Conventional Equities: An ICEEMDAN-Induced Transfer Entropy Analysis by Ahmed Bossman

    Published 2021-01-01
    “…To the studied equities markets, a novel technique based on a denoised frequency-domain entropy paradigm was applied. The operability of entrenched market dynamics in the long-term horizon of the COVID-19 pandemic period is reinforced by the results. …”
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  16. 256

    Situated Information Flow between Food Commodity and Regional Equity Markets: An EEMD-Based Transfer Entropy Analysis by Samuel Kwaku Agyei, Peterson Owusu Junior, Ahmed Bossman, Emmanuel Yaw Arhin

    Published 2022-01-01
    “…From the ensemble empirical mode decomposition (EEMD)-based Rényian transfer entropy analysis employed, we find significant bidirectional information flow between the food commodities and regional equity markets. …”
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    Quantitative Diagnosis of Rotor Vibration Fault Using Process Power Spectrum Entropy and Support Vector Machine Method by Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, Shuang Ma

    Published 2014-01-01
    “…To improve the diagnosis capacity of rotor vibration fault in stochastic process, an effective fault diagnosis method (named Process Power Spectrum Entropy (PPSE) and Support Vector Machine (SVM) (PPSE-SVM, for short) method) was proposed. …”
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