Entropy Decoding the Fundamental Law of Phase Competition in Glass Formation [PDF]
Advanced ScienceThe quest to understand the fundamentals of optimal glass‐forming compositions in multi‐component alloys has long been challenging. To gain insights into the mechanism, a systematic study of glass compositions is conducted using a new strategy of entropy
Benke Huo +7 more
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Analysis of entropies based on empirical mode decomposition in amnesic mild cognitive impairment of diabetes mellitus [PDF]
Journal of Innovative Optical Health Sciences, 2015 EEG characteristics that correlate with the cognitive functions are important in detecting mild cognitive impairment (MCI) in T2DM. To investigate the complexity between aMCI group and age-matched non-aMCI control group in T2DM, six entropies combining ...
Dong Cui +5 more
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Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas [PDF]
EntropyLearning dependence graphs from multivariate continuous data is challenging when marginal distributions are heterogeneous, since likelihood-based nonparametric scores can be sensitive to smoothing choices and can confound marginal irregularities ...
Luiz Desuó Neto +3 more
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Transfer-Entropy- and Hawkes-Process-Driven Dynamic Measurement of Cross-Border Financial Risk Contagion in Directed, Weighted Networks [PDF]
EntropyQuantifying the direction, strength and temporal clustering of cross-border financial risk contagion calls for methods that go beyond linear correlation.
Lei An, Jinping Dai
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The sustainability of recreational sports in Chinese cities based on cognitive entropy. [PDF]
PLoS ONEWith progress of science and development of economy, increasing numbers of urban residents take part in recreational sports (RS) due to their more leisure time and increased income.
Xuefang Zou +4 more
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IEEE Access, 2021 For multidimensional data, Space-Filling Curves (SFCs) have been used to improve the execution time of spatial data queries. However, their effect on compression, when used to reorder the uncompressed values, is known to a lesser extent.
Conrad J. Haupt +2 more
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A Robust Machine Learning Model for Diabetic Retinopathy Classification
Journal of Imaging, 2023 Ensemble learning is a process that belongs to the artificial intelligence (AI) field. It helps to choose a robust machine learning (ML) model, usually used for data classification.
Gigi Tăbăcaru +3 more
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A Fuzzy Entropy-Based Group Consensus Measure for Financial Investments
Mathematics, 2023 This study presents a novel, fuzzy entropy-based approach to the measurement of consensus in group decision making. Here, the basic assumption is that the decision inputs are the ‘yes’ or ‘no’ votes of group members on a financial investment that has a ...
József Dombi +2 more
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Entropy, 2016 Additional entropy generation rates through non-equilibrium ordered structures are predicted for corner flows with sidewall mass injection. Well-defined non-equilibrium ordered structures are predicted at a normalized vertical station of approximately ...
LaVar King Isaacson
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Entropy Generation through Deterministic Spiral Structures in a Corner Boundary-Layer Flow
Entropy, 2015 It is shown that nonlinear interactions between boundary layers on adjacent corner surfaces produce deterministic stream wise spiral structures. The synchronization properties of nonlinear spectral velocity equations of Lorenz form yield clearly defined ...
LaVar King Isaacson
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