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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Removal of Toxic Cr(VI) Ions from Aqueous Solution Using Nano-Hydroxyapatite-Based Chitin and Chitosan Hybrid Composites by G.N. Kousalya, M. Rajiv Gandhi, S. Meenakshi

“…Standard thermodynamic parameters such as the Gibbs' free energy change, ΔG 0 , the standard enthalpy change, ΔH 0 , and the standard entropy change, ΔS 0 , were calculated in order to obtain an understanding of the nature of the sorption process. …”
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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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How to Evaluate the Coordination of Green Economy, Education Development, and Technological Innovation? Take China as Example by Junqi Wu, Kui Zhang

“…This study first designs the indicator system of green economy, education development, and technological innovation, then uses the entropy method to calculate the comprehensive level of green economy, education development, and technological innovation of 30 provinces and cities in China, and finally uses the coupling coordination model to measure the coordination level among them. …”
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Developing a strategic framework for airline destination selection: A multi-criteria decision-making approach applied to Turkish airlines by Filiz Mizrak, Kagan Cenk Mizrak, Gonca Reyhan Akkartal

“…Addressing the complexities of route expansion, the study integrates the Entropy weighting method with the 2-Tuple Linguistic T-Spherical Fuzzy Decision by Opinion Score Method (2TLTS-FDOSM) to evaluate potential destinations across critical criteria, including market demand, economic impact, and regulatory environment. …”
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Empirical Analysis of the Matching Degree between Energy Equipment Manufacturing and Market Demand: A Global Perspective by Yirui Deng, Yimin Chen, Guowei Gao

“…By analyzing the supply and demand characteristics of major global regional markets and the situation of Chinese power enterprises in these markets, we propose matching model cluster including osculating value method, rank-sum ratio method, ideal point method, entropy value method, and efficacy coefficient method to conduct the matching degree study. …”
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An Extended FMEA Model for Exploring the Potential Failure Modes: A Case Study of a Steam Turbine for a Nuclear Power Plant by Huai-Wei Lo, James J. H. Liou, Jen-Jen Yang, Chun-Nen Huang, Yu-Hsuan Lu

“…The original risk priority number (RPN) can be expanded by including the entropy weights in the risk index. Furthermore, to rank the risk priorities in a rational manner, a modified technique for order preference by similarity to ideal solution (modified TOPSIS) is adopted. …”
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Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology by Feng He, Chunxue Liu, Hongjiang Liu

“…Then, the AlexNet is fine-tuned and applied to highway landslide monitoring and surveying. Finally, an entropy weight gray clustering evaluation method based on data mining analysis is proposed, and the performances of several methods are verified. …”
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Analytic Models of Brown Dwarfs and the Substellar Mass Limit by Sayantan Auddy, Shantanu Basu, S. R. Valluri

“…We review the derivation of surface luminosity using an entropy matching condition and the first-order phase transition between the molecular hydrogen in the outer envelope and the partially ionized hydrogen in the inner region. …”
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Synthesis, Characterization, and Physicochemical Studies of Mixed Ligand Complexes of Inner Transition Metals with Lansoprazole and Cytosine by Sarika Verma, Sarita Shrivastva, Rashmi Shrivastva

“…The values of thermodynamic parameters (free energy (ΔG), enthalpy (ΔH), and entropy (ΔS) are also calculated.…”
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Image Encryption Using Lorenz Chaotic System by Daniah Abul Qahar Shakir, Ahmad Salim, Seddiq Q. Abd Al-Rahman, Ali Makki Sagheer

“…Then he supposed technique gave the following results: The average entropy calculation was (7.285) before image encryption and (7.9974) after image encryption with an average NPCR of (99.65%) and UACI was (30.35%) this confirms that the proposed method is reliable and applicable. …”
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Safeguarding accuracy for CT imaging with industrial robots: Efficient calibration methods for arbitrary trajectories by Anton Weiss, Simon Wittl, Gabriel Herl, Simon Zabler, Anna Trauth, Markus G. R. Sause

“…Image quality metrics such as the Modulation Transfer Function, Shannon entropy and Tenengrad variance are utilized to evaluate and compare the reconstruction quality of the various correction and calibration approaches. …”
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Comparing Two Strategies to Model Uncertainties in Structural Dynamics by Rubens Sampaio, Edson Cataldo

“…In both cases, the probability density functions either of the random parameters or of the random matrix are deduced from the Maximum Entropy Principle using only the available information. …”
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