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  1. 121

    Information Entropy-Based Hybrid Models Improve the Accuracy of Reference Evapotranspiration Forecast by Anzhen Qin, Zhilong Fan, Liuzeng Zhang

    Published 2024-01-01
    “…The results confirmed the feasibility of the information entropy-based hybrid model. In detail, the information entropy model generated the mean absolute percentage errors of 11.9% or a decrease by 48.9% compared to the single and variance reciprocal hybrid models. …”
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    Study on the Influence of Sand Core Compactness on Surface Entropy considering Engineering Disturbance by Ding-li Su, Hang Chen, Xuemiao Xu, Mengxiong Tang, He-song Hu

    Published 2021-01-01
    “…There is a close relationship between grain texture and compactness. (2) The calculation results of sand image entropy of one-dimensional entropy and two-dimensional entropy showed that the entropy value of loose, slightly dense, and medium dense sand images is positively correlated with the compactness of sand. (3) The maximum variance of two-dimensional entropy of loose, slightly dense, and medium dense sand image in the same borehole is less than 0.09, and the data variance amplification effect of two-dimensional entropy of image is mainly between different boreholes. (4) The dense feature of core sample structure forms an ordered structure with a gray change boundary, which increases the roughness of the image and leads to the increase of entropy. …”
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    Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis by Xiaoming Xu, Chenglin Wen

    Published 2017-01-01
    “…And, then, according to the information entropy, it allocates the weight for each standardized characteristic variable. …”
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    A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy by Feng You, Yunbo Gong, Haiqing Tu, Jianzhong Liang, Haiwei Wang

    Published 2020-01-01
    “…We propose a real-time detection algorithm involved in information entropy. Particularly, this algorithm relies on the analysis of sufficient consecutive video frames. …”
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  9. 129

    An Incremental-Hybrid-Yager’s Entropy Model for Dynamic Portfolio Selection with Fuzzy Variable by Yin Li, Jian Tao, Yazhi Song

    Published 2018-01-01
    “…To settle down the resolutional uncertainty in optimum portfolio strategy, this paper addresses an incremental-hybrid-Yager’s entropy model to newly describe the relationship between return and risk. …”
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    An Area Rescaling Ansatz and Black Hole Entropy from Loop Quantum Gravity by Abhishek Majhi

    Published 2019-01-01
    “…The statistical mechanical calculation leading to the entropy provides a unique choice of the rescaling function for which the Bekenstein-Hawking area law is yielded without the need to choose the Barbero-Immirzi parameter (γ). γ is determined, rather than being chosen, by studying the limit in which the ‘renormalized’ gravitational constant on the horizon asymptotically approaches the ‘bare’ value. …”
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    Tour-Based Truck Demand Modeling with Entropy Maximization Using GPS Data by Soyoung Iris You, Stephen G. Ritchie

    Published 2019-01-01
    “…This was done by implementing a revised form of entropy maximization based on truck tours to model and better understand drayage truck tour behavior at the San Pedro Bay Ports (SPBPs) complex in Southern California. …”
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  14. 134

    Hydrochemistry and Entropy-Based Groundwater Quality Assessment in the Suining Area, Southwestern China by Yunhui Zhang, Xiao Li, Ming Luo, Changli Wei, Xun Huang, Yong Xiao, Limao Qin, Qiuming Pei

    Published 2021-01-01
    “…The integration of statistical analysis, correlations of ions, geomodelling, and entropy-weighted water quality index (EWQI) was carried out to clarify the hydrochemistry and groundwater quality in the study area. …”
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  15. 135

    Deterministic Annealing Approach to Fuzzy C-Means Clustering Based on Entropy Maximization by Makoto Yasuda

    Published 2011-01-01
    “…This paper is dealing with the fuzzy clustering method which combines the deterministic annealing (DA) approach with an entropy, especially the Shannon entropy and the Tsallis entropy. …”
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  16. 136

    Shannon's Random-Cipher Result and the Generalized R-Norm Entropy of Type β by Satish Kumar, Arun Choudhary

    Published 2013-01-01
    “…Using the Fano inequality for the generalized R-norm entropy and Bayess probability of error, a generalized random-cipher result is proved by taking into account the generalized R-norm entropy of type β.…”
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  17. 137

    A New Method of Fault Feature Extraction Based on Hierarchical Dispersion Entropy by Peng Chen, Xiaoqiang Zhao, HongMei Jiang

    Published 2021-01-01
    “…Secondly, dispersion entropies of different nodes are calculated. Hierarchical dispersion entropy can realize the comprehensive feature extraction of the high- and low-frequency band information of vibration signals and overcome the problems that dispersion entropy and multiscale dispersion entropy are insufficient to extract the fault feature information of vibration signals. …”
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  18. 138

    Misfire Fault Diagnosis Method for Diesel Engine Based on MEMD and Dispersion Entropy by Cheng Gu, Xin-Yong Qiao, Huaying Li, Ying Jin

    Published 2021-01-01
    “…Then, the IMF component with a large correlation coefficient with the original signal in each group is selected to reconstruct new signal, and dispersion entropy (DE) of the reconstructed signal is calculated as a fault feature vector. …”
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    On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models by Guangwu Liu, Muhammad Kamran Siddiqui, Shazia Manzoor, Muhammad Naeem, Douhadji Abalo

    Published 2022-01-01
    “…Our obtained results demonstrated that the critical temperature CT, critical pressure CP, and critical volume CV can be predicted through fifth geometric arithmetic entropy, second SK entropy, and fifth ND entropy, respectively. …”
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