A Method to Dynamic Stochastic Multicriteria Decision Making with Log-Normally Distributed Random Variables by Xin-Fan Wang, Jian-Qiang Wang, Sheng-Yue Deng

“…This method uses the DLNDWG operator and the LNDWG operator to aggregate the log-normally distributed criterion values, utilizes the entropy model of Shannon to generate the time weight vector, and utilizes the expectation values and variances of log-normal distributions to rank the alternatives and select the best one. …”
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改进MOMEDA方法及其在滚动轴承故障特征增强中的应用 by 陈丙炎, 宋冬利, 张卫华, 程尧

“…Aiming at the shortcomings of multipoint optimal minimum entropy deconvolution adjusted（ MOMEDA） method,which cannot automatically identify the fault impulse period and shorten the length of deconvolved signal when enhancing bearing fault features,an improved MOMEDA（ IMOMEDA） method is proposed.The autocorrelation spectrum of square envelope of the vibration signal is used to adaptively identify the fault period,and the estimated impulse period is used to deconvolve the vibration signal to enhance the periodic impulse features.Then the signal waveform extension method is used to extend the deconvolved signal to make its length consistent with the original signal.Finally,the obtained filtered signal is deconvolved for a certain number of times to effectively enhance the periodic features of the original signal.The analysis results of simulated bearing fault signal and railway bearing experiment signals and the comparisons with Kurtogram method show that the improved MOMEDA method can automatically identify the fault impulse period and effectively enhance the fault characteristics of rolling bearing.…”
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Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures by Chizat, Lénaïc

“…Our flexible proof strategy, based on approximation arguments, allows us to painlessly cover all Bregman Proximal Gradient Methods (PGM) and their acceleration (APGM) under various geometries such as the hyperbolic entropy and $L^p$ divergences. We also prove the tightness of our analysis with matching lower bounds and confirm the theoretical results with numerical experiments on low dimensional problems. …”
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Risk Assessment of Government Debt Based on Machine Learning Algorithm by Dan Chen

“…According to forming the performance of local government debt risk and its internal and external influencing factors, this study applies the analytic hierarchy process, entropy method, and BP neural network method to construct the local government risk assessment index system, which includes the primary and secondary indexes including the explicit debt risk, the contingent implicit debt risk, and the financial and economic operation risk. …”
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Scalable PBFT-like algorithm for trust management of degree/graduation certificates by ZHANG Xuewang, LEI Zhitao, LIN Jinzhao

“…A weighted random allocation strategy based on TOPSIS modeling and entropy weighting was used to evaluate node performance and select a consensus committee node set. …”
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‘What are people for?’ by Yat Shun Kei

“…By examining how an energy-entropy interpretation of the ecosystem had shaped their views on the natural, human-made, and psychosocial milieu, I will consider the way cybernetics conditioned the articulation of the built environment. …”
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Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems by Nidhi Goel, Balasubramanian Raman, Indra Gupta

“…The proposed encryption technique maintains the compression efficiency of underlying entropy coder, and enables the processing of encrypted data. …”
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Conformal line defects at finite temperature by Julien Barrat, Bartomeu Fiol, Enrico Marchetto, Alessio Miscioscia, Elli Pomoni

“…Additionally, we relate the free energy and entropy density to the OPE data through the one-point function of the stress-energy tensor. …”
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Phase structure and optical properties of the de Sitter Spacetime with KR field based on the Lyapunov exponent by Yun-Zhi Du, Huai-Fan Li, Yu-Bo Ma, Qiang Gu

“…Based on this, we consider the corresponding black hole solution in the de-Sitter (dS) spacetime with the KR field and investigate the thermodynamic properties in the expanded phase space through introducing the interplay entropy between the black hole and cosmological horizons. …”
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A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection by Jing Liu, Junfang Guo, Qi Li

“…The method calculates the weight value corresponding to degree and clustering coefficient by entropy weight method and then calculates the weight factor of nodes as the seed node selection order. …”
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Customer Churn Modeling via the Grey Wolf Optimizer and Ensemble Neural Networks by Maryam Rahmaty, Amir Daneshvar, Fariba Salahi, Maryam Ebrahimi, Adel Pourghader Chobar

“…This study proposes a hybrid system based on fuzzy entropy criterion selection algorithm with similar classifiers, grey wolf optimization algorithm, and artificial neural network to predict the customer churn of those companies that suffer losses from losing customers over time. …”
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Popular Song Composition Based on Deep Learning and Neural Network by Jun Kuang, Tingfeng Yang

“…The score index is obtained, and each index is weighted by the entropy weight method.…”
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Analysis on the Adjustment of Marine Economic Industrial Structure Based on the Least Square Regression Model by Zhen Ma

“…Three comparisons of marine economic industrial structure and per capita output value coefficient of the marine industry are selected as scientific measurement indexes, the ratio of regional entropy to the output value of marine scientific research management service industry is selected as the height analysis index, and the econometric model is constructed according to the influence of the scientificity and advancement of marine economic industrial structure on marine economic GDP. …”
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Fault Diagnosis of Rolling Bearing based on MEEMD-DHENN by Wang Jinrui, Xie Lirong, Wang Zhongqiang, Niu Yongchao

“…The vibration signal is decomposed by MEEMD,and using variance contribution to select out the Principal Intrinsic Mode Function（ PIMF）,one can calculate the permutation entropy of the IMF which obtained by using Complementary Ensemble Empirical Mode Decomposition（ CEEMD）,it is basic to deal with the illusive component,and the others are reconstructed and decomposed by using EMD,the variance contribution is calculated,through Hilbert transform,characteristic matrix is constructed. …”
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Higgs Information and NMSSM at the Large Hadron Collider by Surabhi Gupta, Sudhir Kumar Gupta

“…Information theory has proven to be a worthwhile tool for investigating the implications of the Higgs sector in the Next-to-Minimal Supersymmetric Standard Model (NMSSM) using Higgs information at the Large Hadron Collider (LHC) assessed through the entropy constructed by means of the branching ratios of decay channels of the Higgs boson. …”
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On the Alpha Power Transformed Power Lindley Distribution by Amal S. Hassan, M. Elgarhy, Rokaya E. Mohamd, Sharifah Alrajhi

“…Various properties of the APTPL distribution including moments, incomplete moments, quantiles, entropy, and stochastic ordering are obtained. Maximum likelihood, maximum products of spacings, and ordinary and weighted least squares methods of estimation are utilized to obtain the estimators of the population parameters. …”
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T-Dagum: A Way of Generalizing Dagum Distribution Using Lomax Quantile Function by Matthew I. Ekum, Muminu O. Adamu, Eno E. Akarawak

“…Different characterizations of the distribution are derived, such as the asymptotes, stochastic ordering, stress-strength analysis, moment, Shannon entropy, and quantile function. Simulated and real data are used and compared favourably with existing distributions in the literature.…”
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GLCM-Based Feature Extraction for Alpha Matting on Natural Images by Ruri Suko Basuki, Jehad A.H Hammad

“…Each sub-image was extracted using the Gray Level Co-occurrence Matrix (GLCM) considered by the parameters of contrast, energy, and entropy at angles of 0°, 45°, 90°, and 135 °. Each feature results in extractions, which are then averaged and normalized in each sub-image. …”
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Pulling the Plug on Eagle Electrocution in Israel: High-resolution Modelling of Bonelli’s Eagle Electrocution Risk by Asaf Mayrose, Eli Haviv, Ohad Hatzofe, Walter Neser, David Troupin, Michal Elroy, Nir Sapir

“…To determine which pylons need to be retrofitted, we applied a three-stage Maximum Entropy Modeling process for identifying the risk factors among different environmental variables.…”
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On the Prediction of Product Aesthetic Evaluation Based on Hesitant-Fuzzy Cognition and Neural Network by Xinying Wu, Minggang Yang, Zishun Su, Xinxin Zhang

“…Afterward, the result is weighted by exponential entropy and dimensionally compressed. This method makes data more suitable for the prediction with small samples, obtaining an accuracy improvement of up to 40% compared with traditional approaches. …”
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