- Entropy | An Open Access Journal from MDPI
Entropy is an international and interdisciplinary peer-reviewed open access journal of entropy and information studies, published monthly online by MDPI The International Society for the Study of Information (IS4SI) and Spanish Society of Biomedical Engineering (SEIB) are affiliated with Entropy and their members receive a discount on the
- Entropy - MDPI
The concept of entropy constitutes, together with energy, a cornerstone of contemporary physics and related areas It was originally introduced by Clausius in 1865 along abstract lines focusing on thermodynamical irreversibility of macroscopic physical processes
- Entropy | Aims Scope - MDPI
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes
- Entropy | Instructions for Authors - MDPI
Entropy requires that authors publish all experimental controls and make full datasets available where possible (see the guidelines on Supplementary Materials and references to unpublished data)
- Entropy, Ecology and Evolution: Toward a Unified Philosophy of . . . - MDPI
By focusing on the fundamental entity (energy), and the fundamental process (dissipation and disordering of energy and increasing of entropy), we are able to have a much clearer and powerful understanding of what life is, from the level of biochemistry, to evolution, to the nature of the organism itself, and to the emergent structures of
- Entropy, Shannon’s Measure of Information and Boltzmann’s H . . . - MDPI
We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynamic Entropy The first is defined on any probability distribution; and therefore it is a very general concept On the other hand Entropy is defined on a very special set of distributions
- Use and Abuse of Entropy in Biology: A Case for Caliber - MDPI
Statistical entropy concepts including Shannon’s diversity, configurational entropy, and informational entropy are discussed in connection to their use in describing the diversity, heterogeneity, and spatial patterning of biological systems
- Applications of Entropy in Data Analysis and Machine Learning: A . . . - MDPI
This group comprises approximate entropy, cross entropy and categorical cross entropy, excess entropy, fuzzy entropy, intrinsic mode entropy, kernel entropy, rank-based entropy, relative entropy or Kullback–Leibler divergence, sample entropy and transfer entropy
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