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Social conflict analysis on a mining project using shannon entropy
(Institute of Electrical and Electronics Engineers Inc., 2017-08)
Social conflicts in the world have increased, due to the fact that the natural resources is being over exploited. In this work, we conducted a social conflict analysis using the entropy-weight method, which is based on ...
A Shannon-Tsallis transformation
(Elsevier, 2013-01)
Via a first-order linear differential equation, we determine a general link between two different solutions of the MaxEnt variational problem, namely, the ones that correspond to using either Shannon’s or Tsallis’ entropies ...
On Convergence Properties of Shannon Entropy
(2008-12)
Convergence properties of Shannon Entropy are studied. In the di erential setting, it is known
that weak convergence of probability measures (convergence in distribution) is not enough for convergence
of the associated ...
Shannon entropy estimation in infinity-alphabets from convergence results: studying plug-in estimators
(MDPI, 2018-06)
This work addresses the problem of Shannon entropy estimation in countably infinite alphabets studying and adopting some recent convergence results of the entropy functional, which is known to be a discontinuous function ...
Correlations in area preserving maps: A Shannon entropy approach
(Elsevier Science, 2020-01-15)
In the present work we extend and generalize the formulation of the Shannon entropy as a measure of correlations in the phase space variables of any dynamical system. By means of theoretical arguments we show that the ...
Fractional calculus, zeta functions and Shannon entropy
(2021-01-01)
This paper deals with the fractional calculus of zeta functions. In particular, the study is focused on the Hurwitz ζ \zeta function. All the results are based on the complex generalization of the Grünwald-Letnikov fractional ...
Lempel–Ziv complexity and Shannon entropy-based support vector clustering of ECG signals
(Universidad de Carabobo, 2015-04)
This work presents a Support Vector Machine (SVM)-based clustering method to cluster normal and pathological ECG signals on a Lempel-Ziv (LZ) complexity and Shannon entropy (SE) space. One normal ECG and three ECG signals ...