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Entropy, Volume 14, Issue 6

June 2012 - 7 articles

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Articles (7)

  • Article
  • Open Access
15 Citations
10,098 Views
24 Pages

19 June 2012

The application of the Maximum Entropy (ME) principle leads to a minimum of the Mutual Information (MI), I(X,Y), between random variables X,Y, which is compatible with prescribed joint expectations and given ME marginal distributions. A sequence of s...

  • Article
  • Open Access
15 Citations
7,625 Views
24 Pages

Case Studies and Benchmark Examples for the Use of Grading Entropy in Geotechnics

  • Emöke Imre,
  • Jànos Lörincz,
  • Janos Szendefy,
  • Phong Q. Trang,
  • Laszlo Nagy,
  • Vijay P. Singh and
  • Stephen Fityus

18 June 2012

The grading entropy concept can be adapted to the field of geotechnics, to establish criteria for phenomena such as particle packing, particle migration and filtering, through a quantified expression of the order/disorder in the grain size distributi...

  • Article
  • Open Access
17 Citations
7,334 Views
34 Pages

13 June 2012

From the perspective of the statistical fluctuation theory, we explore the role of the thermodynamic geometries and vacuum (in)stability properties for the topological Einstein–Yang–Mills black holes. In this paper, from the perspective of the state-...

  • Article
  • Open Access
42 Citations
7,846 Views
17 Pages

12 June 2012

In this paper, we investigate the combined effects of buoyancy force and Navier slip on the entropy generation rate in a vertical porous channel with wall suction/injection. The nonlinear model problem is tackled numerically using Runge–Kutta–Fehlber...

  • Article
  • Open Access
13 Citations
10,279 Views
18 Pages

5 June 2012

Cellular automata (CA) are a remarkably efficient tool for exploring general properties of complex systems and spatiotemporal patterns arising from local rules. Totalistic cellular automata, where the update rules depend only on the density of neighb...

  • Article
  • Open Access
46 Citations
11,006 Views
15 Pages

Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery

  • Quan Liu,
  • Qin Wei,
  • Shou-Zen Fan,
  • Cheng-Wei Lu,
  • Tzu-Yu Lin,
  • Maysam F. Abbod and
  • Jiann-Shing Shieh

25 May 2012

Entropy as an estimate of complexity of the electroencephalogram is an effective parameter for monitoring the depth of anesthesia (DOA) during surgery. Multiscale entropy (MSE) is useful to evaluate the complexity of signals over different time scale...

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Entropy - ISSN 1099-4300