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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
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
Applications of Entropy in Data Analysis and Machine Learning: A . . . - MDPI Given the plethora of entropies in the literature, we have selected a representative group, including the classical ones The applications summarized in this review nicely illustrate the power and versatility of entropy in data analysis and machine learning
Introducing Entropy into Organizational Psychology: An Entropy-Based . . . We believe that psychological entropy, as a meta structure of individuals, can simulate, explain, and predict the process of how individuals manage and control “entropy” in an organizational environment from a dynamic perspective
Entropy and Time - MDPI The maximum value of the entropy (meaning the SMI) is the entropy (meaning the thermodynamic entropy) The correct statement is that the SMI associated with locations and momenta is defined for any system; small or large, at equilibrium or far from equilibrium
A Brief Review of Generalized Entropies - MDPI Another very popular generalized entropy was introduced by Tsallis as a generalization of the Boltzmann–Gibbs entropy (Section 3 1) to describe the properties of physical systems with long range forces and complex dynamics in equilibrium
Entropy | Section Entropy and Biology - MDPI The Entropy and Biology Section aims to publish: Articles that highlight how entropic approaches are addressing an impressive array of questions, from molecular biology to landscape ecology and biomedicine
Understanding Atmospheric Behaviour in Terms of Entropy: A . . . - MDPI In this paper we address only the entropy measures related to meteorology, which include thermodynamic entropy, the entropy of statistical mechanics (Boltzmann entropy or Gibbs entropy), and information entropy (Shannon entropy)