Special Issue "Selected Papers from 5th International Electronic Conference on Entropy and Its Applications"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editor

Prof. Dr. Geert Verdoolaege
E-Mail Website
Guest Editor
1. Research Unit Nuclear Fusion, Department of Applied Physics, Ghent University, Sint-Pietersnieuwstraat 41, B-9000 Ghent, Belgium
2. Laboratory for Plasma Physics, Royal Military Academy (ERM/KMS), Renaissancelaan 30 Avenue de la Renaissance, B-1000 Brussels, Belgium
Tel. +32-9-264.95.91
Interests: probability theory; Bayesian inference; machine learning; information geometry; differential geometry; nuclear fusion; plasma physics; plasma turbulence; continuum mechanics; statistical mechanics
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Special Issue Information

Dear Colleagues,

The 5th International Electronic Conference on Entropy and Its Applications (ECEA-5) is organized by Entropy from November 18 to 30, 2019 and hosted on the MDPI Sciforum platform. A broad range of topics is discussed concerning theory and applications related to the interdisciplinary concept of Entropy.
All conference contributors, both to oral and poster sessions, are encouraged to submit a full paper related to their contribution to this Special Issue of Entropy, with 20% discount on the APC charges. The Special Issue will maintain the topical subdivision of the conference in the following six fields:

  • Thermodynamics and Statistical Physics
  • Information Theory, Probability, Statistics and Artificial Intelligence
  • Quantum Information and Quantum Computing
  • Complex Systems
  • Biological Systems
  • Astrophysics, Cosmology and Black Holes

For more information about the topics, please visit the conference website: https://sciforum.net/conference/ecea-5.
We are looking forward to receiving your manuscript.

Prof. Dr. Geert Verdoolaege
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Open AccessArticle
A Novel Improved Feature Extraction Technique for Ship-Radiated Noise Based on IITD and MDE
Entropy 2019, 21(12), 1215; https://doi.org/10.3390/e21121215 - 12 Dec 2019
Abstract
Ship-radiated noise signal has a lot of nonlinear, non-Gaussian, and nonstationary information characteristics, which can reflect the important signs of ship performance. This paper proposes a novel feature extraction technique for ship-radiated noise based on improved intrinsic time-scale decomposition (IITD) and multiscale dispersion [...] Read more.
Ship-radiated noise signal has a lot of nonlinear, non-Gaussian, and nonstationary information characteristics, which can reflect the important signs of ship performance. This paper proposes a novel feature extraction technique for ship-radiated noise based on improved intrinsic time-scale decomposition (IITD) and multiscale dispersion entropy (MDE). The proposed feature extraction technique is named IITD-MDE. First, IITD is applied to decompose the ship-radiated noise signal into a series of intrinsic scale components (ISCs). Then, we select the ISC with the main information through the correlation analysis, and calculate the MDE value as feature vectors. Finally, the feature vectors are input into the support vector machine (SVM) for ship classification. The experimental results indicate that the recognition rate of the proposed technique reaches 86% accuracy. Therefore, compared with the other feature extraction methods, the proposed method provides a new solution for classifying different types of ships effectively. Full article
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