Results 21 to 30 of about 343,367 (193)
Information Entropy as a Reliable Measure of Nanoparticle Dispersity [PDF]
Chemistry of Materials, 2020 Nanoparticle size impacts properties vital to applications ranging from drug delivery to diagnostics and catalysis. As such, evaluating nanoparticle size dispersity is of fundamental importance. Conventional approaches, such as standard deviation, usually require the nanoparticle population to follow a known distribution and are illequipped to deal ...
Niamh Mac Fhionnlaoich, Stefan Guldin
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Recent developments in quantitative graph theory: information inequalities for networks. [PDF]
PLoS ONE, 2012 In this article, we tackle a challenging problem in quantitative graph theory. We establish relations between graph entropy measures representing the structural information content of networks.
Matthias Dehmer, Lavanya Sivakumar
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Information Entropy Measure for Evaluation of Image Quality [PDF]
Journal of Digital Imaging, 2007 This paper presents a simple and straightforward method for synthetically evaluating digital radiographic images by a single parameter in terms of transmitted information (TI). The features of our proposed method are (1) simplicity of computation, (2) simplicity of experimentation, and (3) combined assessment of image noise and resolution (blur).
Du-Yih, Tsai +2 more
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MAXIMIZABLE INFORMATIONAL ENTROPY AS A MEASURE OF PROBABILISTIC UNCERTAINTY [PDF]
International Journal of Modern Physics B, 2010 In this work, we consider a recently proposed entropy S defined by a variational relationship [Formula: see text] as a measure of uncertainty of random variable x. The entropy defined in this way underlies an extension of virtual work principle [Formula: see text] leading to the maximum entropy [Formula: see text].
Ou, C. J. +6 more
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Gaze Information Channel in Van Gogh’s Paintings
Entropy, 2020 This paper uses quantitative eye tracking indicators to analyze the relationship between images of paintings and human viewing. First, we build the eye tracking fixation sequences through areas of interest (AOIs) into an information channel, the gaze ...
Qiaohong Hao +4 more
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Exponential Entropy for Simplified Neutrosophic Sets and Its Application in Decision Making
Entropy, 2018 Entropy is one of many important mathematical tools for measuring uncertain/fuzzy information. As a subclass of neutrosophic sets (NSs), simplified NSs (including single-valued and interval-valued NSs) can describe incomplete, indeterminate, and ...
Jun Ye, Wenhua Cui
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R\'enyi generalizations of quantum information measures [PDF]
, 2014 Quantum information measures such as the entropy and the mutual information find applications in physics, e.g., as correlation measures. Generalizing such measures based on the R\'enyi entropies is expected to enhance their scope in applications.
Berta, Mario +2 more
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On Entropy of Some Fractal Structures
Fractal and Fractional, 2023 Shannon entropy, also known as information entropy or entropy, measures the uncertainty or randomness of probability distribution. Entropy is measured in bits, quantifying the average amount of information required to identify an event from the ...
Haleemah Ghazwani +3 more
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An entropy-based measure of founder informativeness
Genetical Research, 2005 Optimizing quantitative trait locus (QTL) mapping experiments requires a generalized measure of marker informativeness because variable information is obtained from different marker systems, marker distribution and pedigree types. Such a measure can be derived from the concept of Shannon entropy, a central concept in information theory.
M Humberto, Reyes-Valdés +1 more
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Entropy, 2005 : Entropy is a basic physical quantity that led to various, and sometimes apparently conflicting interpretations. It has been successively assimilated to different concepts such as disorder and information.
Jean-Bernard Brissaud
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