Topological ordering during flexible to rigid transitions in disordered networks by Micoulaut, Matthieu

“…An additional analysis building on diffusivity and liquid entropy suggests that the locus of flexible to rigid transitions has also connections with water-like anomalies of densified tetrahedral liquids.…”
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Evaluation and Selection of Manufacturing Suppliers in B2B E-Commerce Environment by Quan Zhang, Zhen Guo, Feiyu Man, Jiyun Ma

“…Secondly, a deviation maximization model is proposed to determine the attribute weights, which is combined with those derived from the entropy method. Thirdly, the overall values of suppliers are calculated and their rankings are obtained. …”
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Segmentation of the Sensor Data Stream in Pervasive Smart Environments by Vahid Ghasemi, Mohammad Javadian, Sajad Hayati

“…The segmentation purity and conditional entropy have been calculated to measure the performance. …”
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Damage Evaluation of the Paving around Manholes under Vehicle Dynamic Load by Wenjun Hu, Quanman Zhao, Yao Liu, Zhigang Li, Xianghui Kong

“…Finally, many influencing factors on pavement damage were analyzed by the method of grey correlation entropy. The results indicated that the impact load reached the maximum for the first time when the vehicle reached the top of the manhole cover, which was 1.29 times that of the static load, and the pavement damage coefficient was 2.12 times that of the static load. …”
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Analysis of Thermal Environment and Its Influencing Factors in Deep Stope of Metal Mine by Shuang You, Jincui Sun, Hongguang Ji, Qixing Feng

“…Then, through the analysis of the influence factors of heat sources in the mining site, 17 evaluation indexes of the influence factors of the mining site thermal environment were sorted out, and the indexes’ weight was calculated based on the entropy weighting method, and it was learned that the largest weight of the influence on the thermal environment factors in a single excavation working face was the water gushing in the roadway. …”
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Thermodynamics of Charged Rotating Dilaton Black Branes Coupled to Logarithmic Nonlinear Electrodynamics by A. Sheykhi, M. H. Dehghani, M. Kord Zangeneh

“…We derive temperature, electric potential, and entropy associated with the horizon and check the validity of the first law of thermodynamics on the black brane horizon. …”
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Exploiting Small Leakages in Masks to Turn a Second-Order Attack into a First-Order Attack and Improved Rotating Substitution Box Masking with Linear Code Cosets by Alexander DeTrano, Naghmeh Karimi, Ramesh Karri, Xiaofei Guo, Claude Carlet, Sylvain Guilley

“…Our attack targets AES implemented in software protected by a low entropy masking scheme and recovers the masks with 91% success rate. …”
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sEMG-MMG State-Space Model for the Continuous Estimation of Multijoint Angle by Xugang Xi, Chen Yang, Seyed M. Miran, Yun-Bo Zhao, Shuliang Lin, Zhizeng Luo

“…The sEMG and MMG features, including the Wilson amplitude and permutation entropy, are then extracted to construct a measurement equation to reduce system error and external disturbances. …”
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Dog recognition in public places based on convolutional neural network by Jianquan Ouyang, Hao He, Yi He, Huanrong Tang

“…First, the image is divided into several grids; then, the dense–scale invariant feature transform algorithm is used to split and combine the descriptors, and the channel information of the eight directions of the image is extracted as the input of the convolutional neural network; and finally, we design a convolutional neural network based on Adam optimization algorithm and cross-entropy to identify the dog species. The experimental results show that the algorithm can fully combine the advantages of dense–scale invariant feature transform and convolutional neural network to achieve dog recognition in public places, and the correct rate is 94.2%.…”
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A Novel Approach to Supply the Water Reservoir Demand Based on a Hybrid Whale Optimization Algorithm by Alireza Donyaii, Amirpouya Sarraf, Hassan Ahmadi

“…Developing multicriteria decision-making models using TOPSIS and the Shannon entropy also suggested the IWOA excels the other algorithms in optimizing the reservoir operational problem.…”
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Reappraising double pendulum dynamics across multiple computational platforms by Sandy Herho, Faiz Fajary, Katarina Herho, Iwan Anwar, Rusmawan Suwarman, Dasapta Irawan

“…Time series analyses, including the calculation of Shannon entropy and the Kolmogorov - Smirnov test, quantified the system's unpredictability and sensitivity to infinitesimal perturbations of the initial conditions. …”
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A Hybrid Model for Short-Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short-Term Memory Neural Network by Yang Yu, Qiang Shang, Tian Xie

“…Firstly, we decompose the original traffic flow sequence into K components through VMD and determine the number of components K according to the sample entropy of different K values. Then, each component is denoised by wavelet threshold to obtain the denoised subsequence. …”
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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis by Xiaoyan Sun

“…Introducing gradient harmonic loss and cross entropy loss to enhance the model’s attention to minority classes in the dataset and alleviate the impact of data imbalance on diagnostic results. …”
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Monthly Mean Meteorological Temperature Prediction Based on VMD-DSE and Volterra Adaptive Model by Guohui Li, Wanni Chang, Hong Yang

“…In order to improve the accuracy of monthly mean temperature prediction and reduce the calculation scale of hybrid prediction process, a combined prediction model based on variational mode decomposition-differential symbolic entropy (VMD-DSE) and Volterra is proposed. Firstly, the original monthly mean meteorological temperature sequence is decomposed into finite mode components by VMD. …”
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Fatigue Strength Evaluation for Remanufacturing Impeller of Centrifugal Compressor Based on Modified Grey Relational Model by Qingchao Sun, Bowen Shi, Xiaokai Mu, Kepeng Sun

“…Considering the correlation and difference between available data and target data, the grey relational function is established, and the correction function of the target residual is brought forward to reduce the transformation deviation. The entropy-weight theory is implemented to determine the different impacts of multisource data on target strength. …”
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Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts by Andriy Viktorovich Goncharenko

“…The described doctrine allows obtaining the objectively existing optimal values not with the help of a probabilistic but rather with a multioptimal concept. The subjective entropy maximum principle is the other paradigm concept involved in the considered problem solution, which is an equivalent for the uncertainty conditional optimization at the optimal hybrid function distribution determination. …”
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A Bounded Lifetime Distribution Specified by a Trigonometric Function: Properties, Regression Model, and Applications by Simon A. Ogumeyo, Festus C. Opone, Abdul Ghaniyyu Abubakari, Jacob C. Ehiwario

“…Some statistical properties of the new bounded distribution, including quantile function, ordinary moments, incomplete moments, moment-generating functions, inequality measures, Rényi entropy, and probability weighted moments are derived. …”
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The glass transition in molecules, colloids and grains: universality and specificity by Dauchot, Olivier, Ladieu, François, Royall, C. Patrick

“…We then review some experimental measurements which depend more specifically on the class of glassformer, such as the Gardner transition and some which have been investigated more in one or two classes than in all, such as configurational entropy and evidence for a dynamical phase transition. …”
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Cauchy–Logistic Unit Distribution: Properties and Application in Modeling Data Extremes by Vladica S. Stojanović, Tanja Jovanović Spasojević, Radica Bojičić, Brankica Pažun, Zlatko Langović

“…Key stochastic properties of the CLU distribution are examined, such as moments, entropy, modality, and symmetry conditions. In addition, a quantile-based parameter estimation procedure, an asymptotic analysis of the thus obtained estimators, and their Monte Carlo simulation study are conducted. …”
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FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery by Mehwish Tahir, Nadia Kanwal, Fatima Anjum

“…Experiments show that FAB descriptor’s performance is good, but the calculation and matching time is significantly less than BRIEF, the best known binary descriptor, and AMIE, a descriptor that uses entropy and average intensities of informative part of a corner point for the description.…”
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