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    Entanglement entropy of a color flux tube in (2+1)D Yang-Mills theory by Rocco Amorosso, Sergey Syritsyn, Raju Venugopalan

    Published 2024-12-01
    “…Abstract We construct a novel flux tube entanglement entropy (FTE2), defined as the excess entanglement entropy relative to the vacuum of a region of color flux stretching between a heavy quark-anti-quark pair in pure gauge Yang-Mills theory. …”
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  3. 283

    Fetal Vibroacoustic Stimulation in Computerized Cardiotocographic Analysis: The Role of Short-Term Variability and Approximate Entropy by Maria Laura Annunziata, Mariamaddalena Scala, Natascia Giuliano, Salvatore Tagliaferri, Olga Carmela Maria Imperato, Francesca Giovanna Esposito, Marta Campanile, Andrea Di Lieto

    Published 2012-01-01
    “…The aim of this study was to evaluate the impact of vibroacoustic stimulation (VAS) on computerized cardiotocography short-term variability (STV) and approximate entropy (ApEn) in both low- and high-risk pregnancies. …”
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    A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM by HungLinh Ao, Junsheng Cheng, Kenli Li, Tung Khac Truong

    Published 2014-01-01
    “…This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algorithm, referred to as an ACROA-SVM. …”
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    Article
  7. 287

    Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method by Yong Chen, Mian Jiang, Kuanfang He

    Published 2021-01-01
    “…In this paper, we propose a multiscale Tsallis permutation entropy (MTPE) to construct the HIs of rotary machinery under different working conditions. …”
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  8. 288

    Efficiency of Chinese Real Estate Market Based on Complexity-Entropy Binary Causal Plane Method by Yan Chen, Ya Cai, Chengli Zheng

    Published 2020-01-01
    “…This paper attempts to study the efficiency of Chinese real estate market by using the complexity-entropy binary causal plane method. We firstly discuss the formation mechanism of real estate price, which provides a theoretical basis for testing the efficiency, and compute the real estate market efficiency of 70 main Chinese cities. …”
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    Learning the Car-following Behavior of Drivers Using Maximum Entropy Deep Inverse Reinforcement Learning by Yang Zhou, Rui Fu, Chang Wang

    Published 2020-01-01
    “…The present study proposes a framework for learning the car-following behavior of drivers based on maximum entropy deep inverse reinforcement learning. The proposed framework enables learning the reward function, which is represented by a fully connected neural network, from driving data, including the speed of the driver’s vehicle, the distance to the leading vehicle, and the relative speed. …”
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  11. 291

    Application of Entropy Hierarchy Analysis and Deep Neural Network Algorithm Combination in Enterprise Economic Management by Dan Liu, Xuefei Zheng, Chunqian Dai

    Published 2022-01-01
    “…In order to solve this problem, this paper proposes an evaluation method that integrates entropy weight analytic hierarchy process and deep neural network algorithm. …”
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    Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network by Yuchao Zheng, Heng Zhong, Yong Fang, Wensheng Zhang, Kai Liu, Jing Fang

    Published 2019-01-01
    “…A rockburst prediction model of the entropy weight grey relational backpropagation (BP) neural network is developed. …”
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  14. 294

    An Improved CEEMDAN Time-Domain Energy Entropy Method for the Failure Mode Identification of the Rolling Bearing by Fengfeng Bie, Yi Miao, Fengxia Lyu, Jian Peng, Yue Guo

    Published 2021-01-01
    “…Then, the particular IMF components are selected according to the trend of correlation coefficient and variance contribution rate; meanwhile, the information entropy (power spectral entropy, singular spectral entropy, and time-domain energy entropy) of the screened IMF components is calculated to construct the feature vector sets, respectively. …”
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  15. 295

    A high-entropy alloy showing gigapascal superelastic stress and nearly temperature-independent modulus by Junming Gou, Guoxin Liu, Tianzi Yang, Xiaolian Liu, Yun Pan, Chang Liu, Yu Qian, Yao Liu, Ying Chen, Xuefeng Zhang, Tianyu Ma, Xiaobing Ren

    Published 2025-01-01
    “…Our findings may provide insight into designing high-entropy alloys with unconventional and technologically-important functional properties.…”
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  16. 296

    Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning by Jiankun Sun, Xiong Luo, Weiping Wang, Yang Gao, Wenbing Zhao

    Published 2023-08-01
    “…In this study, motivated by the symmetric cross entropy with satisfactory noise robustness, the authors propose a robust Malware identification method using temporal convolutional network (TCN). …”
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