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  1. 161

    Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory by Jue Li, Hui Wei, Yongsheng Yao, Xin Hu, Lei Wang

    Published 2021-01-01
    “…The index weight was calculated by minimum entropy theory, and the practicability of this method was verified through a concrete example finally. …”
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    Article
  2. 162

    Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks by Keke Gao, Wenbin Feng, Xia Zhao, Chongchong Yu, Weijun Su, Yuqing Niu, Lu Han

    Published 2021-01-01
    “…To emphasize the features of collected maker gas and overcome the low anomaly detection accuracy caused by the inadequate learning of the normal mode, this paper adopted a method of anomaly detection for time series with difference rate sample entropy and generative adversarial networks. Because the difference rate entropy feature of abnormal data was much larger than that of normal mode, this paper improved the calculation method of the abnormal score by giving different weights to the detection points to enhance the detection rate. …”
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  5. 165

    Dynamical Properties of Scaled Atomic Wehrl Entropy of Multiphoton JCM in the Presence of Atomic Damping by S. Abdel-Khalek, M. S. Almalki, E. Edfawy

    Published 2013-01-01
    “…We study the dynamics of the atomic inversion, scaled atomic Wehrl entropy, and marginal atomic Q-function for a single two-level atom interacting with a one-mode cavity field taking in the presence of atomic damping. …”
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    Article
  6. 166
  7. 167

    Electronic descriptors for designing high-entropy alloy electrocatalysts by leveraging local chemical environments by Guolin Cao, Sha Yang, Ji-Chang Ren, Wei Liu

    Published 2025-02-01
    “…Abstract High-entropy alloys (HEAs) present a vast compositional space for fine-tuning electrocatalytic activities, leveraging millions of distinct active sites on the surface. …”
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    Article
  8. 168

    A Numerical Study on the Regularity of d-Primes via Informational Entropy and Visibility Algorithms by B. L. Mayer, L. H. A. Monteiro

    Published 2020-01-01
    “…First, the variability of the gap sequences for d∈2,3,…,11 is evaluated by calculating the informational entropy. Then, these sequences are mapped into graphs by employing two visibility algorithms. …”
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    Article
  9. 169

    Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects by Rongxin Zhang, Lvjiang Yin, Jing Jia, Yuanxing Yin

    Published 2019-01-01
    “…Based on dynamic comprehensive time entropy, the model not only reflects the degree of importance attached to the latest data but also gives consideration to the subjective preferences of decision-makers in order to set a new vector for time sequence weight. …”
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  10. 170

    Design of antiferroelectric polarization configuration for ultrahigh capacitive energy storage via increasing entropy by Yongxiao Zhou, Tianfu Zhang, Liang Chen, Huifen Yu, Ruiyu Wang, Hao Zhang, Jie Wu, Shiqing Deng, He Qi, Chang Zhou, Jun Chen

    Published 2025-01-01
    “…Abstract Electric field induced antiferroelectric-ferroelectric phase transition is a double-edged sword for energy storage properties, which not only offers a congenital superiority with substantial energy storage density but also poses significant challenges such as large polarization hysteresis and poor efficiency, deteriorating the operation and service life of capacitors. Here, entropy increase effect is utilized to simultaneously break the long-range antiferroelectric order and locally adjust the fourfold commensurate modulated polarization configuration, leading to a breakthrough in the trade-off between recoverable energy storge density (14.8 J cm−3) and efficiency (90.2%) in medium-entropy antiferroelectrics. …”
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  14. 174

    Application of Variational Mode Decomposition and Multiscale Permutation Entropy in Rolling Bearing Failure Analysis by Haorui Liu, Haijun Li, Rongyan Wang, Hengwei Zhu, Jianchen Zhang

    Published 2022-01-01
    “…The feature extraction method based on variational mode decomposition (VMD) and permutation entropy can effectively measure the regularity of the signal and detect weak changes. …”
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    Article
  15. 175

    Model and Simulation of Maximum Entropy Phrase Reordering of English Text in Language Learning Machine by Weifang Wu

    Published 2020-01-01
    “…This paper proposes a feature extraction algorithm based on the maximum entropy phrase reordering model in statistical machine translation in language learning machines. …”
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    Article
  16. 176

    On Topological Analysis of Niobium (II) Oxide Network via Curve Fitting and Entropy Measures by Muhammad Kamran Siddiqui, Sana Javed, Sadia Khalid, Mazhar Hussain, Muhammad Shahbaz, Samuel Asefa Fufa

    Published 2022-01-01
    “…Additionally, each topological index is related with thermodynamical properties of niobium (II) oxide, including entropy and enthalpy. This has been done in MATLAB software, using rational built-in method.…”
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  17. 177

    Feature Extraction Strategy with Improved Permutation Entropy and Its Application in Fault Diagnosis of Bearings by Fan Jiang, Zhencai Zhu, Wei Li, Bo Wu, Zhe Tong, Mingquan Qiu

    Published 2018-01-01
    “…In this study, improved permutation entropy (IPE) is defined as the feature for bearing fault diagnosis. …”
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    Article
  18. 178

    Experimental Study on the Performance of Basalt Fiber Modified Pervious Concrete Based on Entropy Method by Wenhua Wang, Xiaojun Cheng, Jinzhong Zhu, Da Jiang, Hongliang Sun, Siyu Liu

    Published 2022-01-01
    “…The optimal incorporation index of basalt fiber was determined by a new analysis method—the entropy method. Finally, it is concluded that basalt fiber can improve the mechanical and pervious properties of pervious concrete by changing the internal structure of pervious concrete. …”
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    Article
  19. 179

    Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG) by Ahmed M. A. Mohamed, Osman N. Uçan, Oğuz Bayat, Adil Deniz Duru

    Published 2020-01-01
    “…This paper discusses the resting state of the brain with eyes open (EO) and eyes closed (EC) by using sixteen channels by the use of conventional frequency bands and entropy of the EEG signal. The Fast Fourier Transform (FFT) and sample entropy (SE) of each sensor are computed as methods of feature extraction. …”
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    Article
  20. 180