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Entropy, Volume 24, Issue 8

August 2022 - 161 articles

Cover Story: In the article by Sabeti et al., a new information theoretic anomaly detector for time series is introduced. The method is based on detecting changes in the compressability of a test segment of the time series as measured by the difference between complexities of a typical encoder and a universal encoder. The typical and universal encoders are respectively implemented with a tree-structured pattern dictionary, trained on an earlier segment of the time series, and a Lempel–Ziv encoder. The anomaly detector is illustrated for a chaotic time series with model shift and for early detection of anomalous heart rates and skin temperatures of patients after exposure to a respiratory virus. View this paper
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Articles (161)

  • Article
  • Open Access
2 Citations
2,622 Views
20 Pages

Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions

  • André T. Cesário,
  • Diego L. B. Ferreira,
  • Tiago Debarba,
  • Fernando Iemini,
  • Thiago O. Maciel and
  • Reinaldo O. Vianna

19 August 2022

We introduce a quantum version for the statistical complexity measure, in the context of quantum information theory, and use it as a signaling function of quantum order–disorder transitions. We discuss the possibility for such transitions to ch...

  • Article
  • Open Access
2 Citations
2,066 Views
16 Pages

19 August 2022

The monitoring of nuclear safeguards measurements consists of verifying the coherence between the operator declarations and the corresponding inspector measurements on the same nuclear items. Significant deviations may be present in the data, as cons...

  • Article
  • Open Access
3 Citations
2,181 Views
21 Pages

19 August 2022

We propose and analyze an effective decoupling algorithm for unsteady thermally coupled magneto-hydrodynamic equations in this paper. The proposed method is a first-order velocity correction projection algorithms in time marching, including standard...

  • Article
  • Open Access
5 Citations
4,995 Views
19 Pages

19 August 2022

Camera sensor identification can have numerous forensics and authentication applications. In this work, we follow an identification methodology for smartphone camera sensors using properties of the Dark Signal Nonuniformity (DSNU) in the collected im...

  • Article
  • Open Access
41 Citations
7,666 Views
17 Pages

19 August 2022

This paper proposes a new method that can identify and predict financial fraud among listed companies based on machine learning. We collected 18,060 transactions and 363 indicators of finance, including 362 financial variables and a class variable. T...

  • Article
  • Open Access
11 Citations
4,692 Views
23 Pages

Entropy-Based Discovery of Summary Causal Graphs in Time Series

  • Charles K. Assaad,
  • Emilie Devijver and
  • Eric Gaussier

19 August 2022

This study addresses the problem of learning a summary causal graph on time series with potentially different sampling rates. To do so, we first propose a new causal temporal mutual information measure for time series. We then show how this measure r...

  • Article
  • Open Access
4 Citations
2,225 Views
17 Pages

19 August 2022

This paper studies the properties of the derivatives of differential entropy H(Xt) in Costa’s entropy power inequality. For real-valued random variables, Cheng and Geng conjectured that for m≥1, (−1)m+1(dm/dtm)H(Xt)≥0, while McKean...

  • Article
  • Open Access
6 Citations
2,944 Views
23 Pages

19 August 2022

Many similarity measure algorithms of nodes in weighted graph data have been proposed by employing the degree of nodes in recent years. Despite these algorithms obtaining great results, there may be still some limitations. For instance, the strength...

  • Article
  • Open Access
2 Citations
3,387 Views
18 Pages

19 August 2022

The application of precision dual-drive gantry stages in intelligent manufacturing is increasing. However, the loads of dual drive motors can be severely inconsistent due to the movement of heavy loads on the horizontal crossbeam, resulting in synchr...

  • Article
  • Open Access
1,834 Views
13 Pages

19 August 2022

Most previous studies on lossless image compression have focused on improving preprocessing functions to reduce the redundancy of pixel values in real images. However, we assumed stochastic generative models directly on pixel values and focused on ac...

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Entropy - ISSN 1099-4300Creative Common CC BY license