Results 41 to 50 of about 488,120 (194)

A Masi-Entropy Image Thresholding Based on Long-Range Correlation [PDF]

open access: yesEntropy
Entropy-based image thresholding is one of the most widely used segmentation techniques in image processing. The Tsallis and Masi entropies are information measures that can capture long-range interactions in various physical systems.
Perfilino Eugênio Ferreira Júnior   +3 more
doaj   +2 more sources

Tsallis Entropy for Loss Models and Survival Models Involving Truncated and Censored Random Variables. [PDF]

open access: yesEntropy (Basel), 2022
The aim of this paper consists in developing an entropy-based approach to risk assessment for actuarial models involving truncated and censored random variables by using the Tsallis entropy measure.
Preda V   +4 more
europepmc   +2 more sources

Black hole geometrothermodynamics and critical phenomena: A look from Tsallis entropy-based perspective [PDF]

open access: yesPhysics of the Dark Universe, 2023
We analyze geometrothermodynamics of charged anti-de Sitter (AdS) black holes with a global monopole in the framework of Tsallis statistics. The latter arises from a non-additive generalization of Boltzmann-Gibbs entropy, which is still recovered as a ...
G. G. Luciano, A. Sheykhi
semanticscholar   +1 more source

How barrow entropy modifies gravity: with comments on Tsallis entropy [PDF]

open access: yesThe European Physical Journal C, 2022
Barrow proposed that the area law of the horizon entropy might receive a “fractal correction” $$S\propto A^{1+\Delta /2}$$ S ∝ A 1 + Δ / 2 due to quantum gravitational effects, with $$0\leqslant \Delta \leqslant 1$$ 0 ⩽ Δ ⩽ 1 measures the deviation from ...
Sofia Di Gennaro, Haoting Xu, Y. Ong
semanticscholar   +1 more source

Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy [PDF]

open access: yesJournal of Probability and Statistics, 2015
We propose a generalized cumulative residual information measure based on Tsallis entropy and its dynamic version. We study the characterizations of the proposed information measure and define new classes of life distributions based on this measure. Some
Madan Mohan Sati, Nitin Gupta
doaj   +2 more sources

On Cumulative Tsallis Entropies

open access: yesActa Applicandae Mathematicae, 2023
We investigate the cumulative Tsallis entropy, an information measure recently introduced as a cumulative version of the classical Tsallis differential entropy, which is itself a generalization of the Boltzmann-Gibbs statistics. This functional is here considered as a perturbation of the expected mean residual life via some power weight function.
Simon, Thomas, Dulac, Guillaume
openaire   +3 more sources

Tsallis q-Statistics in Seismology [PDF]

open access: yes, 2023
Non-extensive statistical mechanics (or q-statistics) is based on the so-called non-additive Tsallis entropy. Since its introduction by Tsallis, in 1988, as a generalization of the Boltzmann–Gibbs equilibrium statistical mechanics, it has steadily ...
Carlos A. Vargas   +2 more
core   +1 more source

Tsallis Entropy for Geometry Simplification [PDF]

open access: yesEntropy, 2011
This paper presents a study and a comparison of the use of different information-theoretic measures for polygonal mesh simplification. Generalized measures from Information Theory such as Havrda–Charvát–Tsallis entropy and mutual information have been applied. These measures have been used in the error metric of a surfaces implification algorithm.
Pascual Castelló   +4 more
openaire   +3 more sources

Enhance Teaching-Learning-Based Optimization for Tsallis-Entropy-Based Feature Selection Classification Approach

open access: yesProcesses, 2022
Feature selection is an effective method to reduce the number of data features, which boosts classification performance in machine learning. This paper uses the Tsallis-entropy-based feature selection to detect the significant feature.
Di Wu   +6 more
semanticscholar   +1 more source

Symbolic sequences and Tsallis entropy [PDF]

open access: yesBrazilian Journal of Physics, 2009
We address this work to investigate symbolic sequences with long-range correlations by using computational simulation. We analyze sequences with two, three and four symbols that could be repeated $l$ times, with the probability distribution $p(l)\propto 1/ l^μ$.
Ribeiro, H. V.   +4 more
openaire   +4 more sources

Home - About - Disclaimer - Privacy