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Thermodynamic and Differential Entropy under a Change of Variables.

Entropy (Basel, Switzerland)

Hnizdo V, Gilson MK.
PMID: 24436633
Entropy (Basel). 2010 Mar 16;12(3):578-590. doi: 10.3390/e12030578.

The differential Shannon entropy of information theory can change under a change of variables (coordinates), but the thermodynamic entropy of a physical system must be invariant under such a change. This difference is puzzling, because the Shannon and Gibbs...

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Hnizdo V, Gilson MK. Thermodynamic and Differential Entropy under a Change of Variables. Entropy (Basel). 2010;12(3):578-590doi: 10.3390/e12030578.
Hnizdo, V., & Gilson, M. K. (2010). Thermodynamic and Differential Entropy under a Change of Variables. Entropy (Basel, Switzerland), 12(3), 578-590. https://doi.org/10.3390/e12030578
Hnizdo, Vladimir, and Gilson, Michael K. "Thermodynamic and Differential Entropy under a Change of Variables." Entropy (Basel, Switzerland) vol. 12,3 (2010): 578-590. doi: https://doi.org/10.3390/e12030578
Hnizdo V, Gilson MK. Thermodynamic and Differential Entropy under a Change of Variables. Entropy (Basel). 2010 Mar 16;12(3):578-590. doi: 10.3390/e12030578. PMID: 24436633; PMCID: PMC3891802.
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Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep.

Entropy (Basel, Switzerland)

Lucchini M, Pini N, Fifer WP, Burtchen N, Signorini MG.
PMID: 28966550
Entropy (Basel). 2017 May;19(5). doi: 10.3390/e19050225. Epub 2017 May 15.

Sleep is a central activity in human adults and characterizes most of the newborn infant life. During sleep, autonomic control acts to modulate heart rate variability (HRV) and respiration. Mechanisms underlying cardiorespiratory interactions in different sleep states have been...

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Lucchini M, Pini N, Fifer WP, et al. Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep. Entropy (Basel). 2017;19(5)doi: 10.3390/e19050225.
Lucchini, M., Pini, N., Fifer, W. P., Burtchen, N., & Signorini, M. G. (2017). Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep. Entropy (Basel, Switzerland), 19(5), . https://doi.org/10.3390/e19050225
Lucchini, Maristella, et al. "Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep." Entropy (Basel, Switzerland) vol. 19,5 (2017). doi: https://doi.org/10.3390/e19050225
Lucchini M, Pini N, Fifer WP, Burtchen N, Signorini MG. Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep. Entropy (Basel). 2017 May;19(5). doi: 10.3390/e19050225. Epub 2017 May 15. PMID: 28966550; PMCID: PMC5617350.
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A Free Energy Principle for Biological Systems.

Entropy (Basel, Switzerland)

Karl F.
PMID: 23204829
Entropy (Basel). 2012 Nov;14(11):2100-2121. doi: 10.3390/e14112100.

This paper describes a free energy principle that tries to explain the ability of biological systems to resist a natural tendency to disorder. It appeals to circular causality of the sort found in synergetic formulations of self-organization (e.g., the...

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Karl F. A Free Energy Principle for Biological Systems. Entropy (Basel). 2012;14(11):2100-2121doi: 10.3390/e14112100.
Karl, F. (2012). A Free Energy Principle for Biological Systems. Entropy (Basel, Switzerland), 14(11), 2100-2121. https://doi.org/10.3390/e14112100
Karl, Friston. "A Free Energy Principle for Biological Systems." Entropy (Basel, Switzerland) vol. 14,11 (2012): 2100-2121. doi: https://doi.org/10.3390/e14112100
Karl F. A Free Energy Principle for Biological Systems. Entropy (Basel). 2012 Nov;14(11):2100-2121. doi: 10.3390/e14112100. PMID: 23204829; PMCID: PMC3510653.
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Statistical Measures to Quantify Similarity between Molecular Dynamics Simulation Trajectories.

Entropy (Basel, Switzerland)

Farmer J, Kanwal F, Nikulsin N, Tsilimigras MCB, Jacobs DJ.
PMID: 30498328
Entropy (Basel). 2017 Dec;19(12). doi: 10.3390/e19120646. Epub 2017 Nov 29.

Molecular dynamics simulation is commonly employed to explore protein dynamics. Despite the disparate timescales between functional mechanisms and molecular dynamics (MD) trajectories, functional differences are often inferred from differences in conformational ensembles between two proteins in structure-function studies that...

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Farmer J, Kanwal F, Nikulsin N, et al. Statistical Measures to Quantify Similarity between Molecular Dynamics Simulation Trajectories. Entropy (Basel). 2017;19(12)doi: 10.3390/e19120646.
Farmer, J., Kanwal, F., Nikulsin, N., Tsilimigras, M. C. B., & Jacobs, D. J. (2017). Statistical Measures to Quantify Similarity between Molecular Dynamics Simulation Trajectories. Entropy (Basel, Switzerland), 19(12), . https://doi.org/10.3390/e19120646
Farmer, Jenny, et al. "Statistical Measures to Quantify Similarity between Molecular Dynamics Simulation Trajectories." Entropy (Basel, Switzerland) vol. 19,12 (2017). doi: https://doi.org/10.3390/e19120646
Farmer J, Kanwal F, Nikulsin N, Tsilimigras MCB, Jacobs DJ. Statistical Measures to Quantify Similarity between Molecular Dynamics Simulation Trajectories. Entropy (Basel). 2017 Dec;19(12). doi: 10.3390/e19120646. Epub 2017 Nov 29. PMID: 30498328; PMCID: PMC6258182.
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Eigenfaces-Based Steganography.

Entropy (Basel, Switzerland)

Hachaj T, Koptyra K, Ogiela MR.
PMID: 33668760
Entropy (Basel). 2021 Feb 25;23(3). doi: 10.3390/e23030273.

In this paper we propose a novel transform domain steganography technique-hiding a message in components of linear combination of high order eigenfaces vectors. By high order we mean eigenvectors responsible for dimensions with low amount of overall image variance,...

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Hachaj T, Koptyra K, Ogiela MR. Eigenfaces-Based Steganography. Entropy (Basel). 2021;23(3)doi: 10.3390/e23030273.
Hachaj, T., Koptyra, K., & Ogiela, M. R. (2021). Eigenfaces-Based Steganography. Entropy (Basel, Switzerland), 23(3), . https://doi.org/10.3390/e23030273
Hachaj, Tomasz, et al. "Eigenfaces-Based Steganography." Entropy (Basel, Switzerland) vol. 23,3 (2021). doi: https://doi.org/10.3390/e23030273
Hachaj T, Koptyra K, Ogiela MR. Eigenfaces-Based Steganography. Entropy (Basel). 2021 Feb 25;23(3). doi: 10.3390/e23030273. PMID: 33668760; PMCID: PMC7996190.
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Fault Detection Based on Multi-Dimensional KDE and Jensen-Shannon Divergence.

Entropy (Basel, Switzerland)

Wei J, He Z, Wang J, Wang D, Zhou X.
PMID: 33668392
Entropy (Basel). 2021 Feb 24;23(3). doi: 10.3390/e23030266.

Weak fault signals, high coupling data, and unknown faults commonly exist in fault diagnosis systems, causing low detection and identification performance of fault diagnosis methods based on T2 statistics or cross entropy. This paper proposes a new fault diagnosis...

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Wei J, He Z, Wang J, et al. Fault Detection Based on Multi-Dimensional KDE and Jensen-Shannon Divergence. Entropy (Basel). 2021;23(3)doi: 10.3390/e23030266.
Wei, J., He, Z., Wang, J., Wang, D., & Zhou, X. (2021). Fault Detection Based on Multi-Dimensional KDE and Jensen-Shannon Divergence. Entropy (Basel, Switzerland), 23(3), . https://doi.org/10.3390/e23030266
Wei, Juhui, et al. "Fault Detection Based on Multi-Dimensional KDE and Jensen-Shannon Divergence." Entropy (Basel, Switzerland) vol. 23,3 (2021). doi: https://doi.org/10.3390/e23030266
Wei J, He Z, Wang J, Wang D, Zhou X. Fault Detection Based on Multi-Dimensional KDE and Jensen-Shannon Divergence. Entropy (Basel). 2021 Feb 24;23(3). doi: 10.3390/e23030266. PMID: 33668392; PMCID: PMC7996243.
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Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy.

Entropy (Basel, Switzerland)

Orenes Y, Rabasa A, Rodriguez-Sala JJ, Sanchez-Soriano J.
PMID: 34356391
Entropy (Basel). 2021 Jul 01;23(7). doi: 10.3390/e23070850.

In the machine learning literature we can find numerous methods to solve classification problems. We propose two new performance measures to analyze such methods. These measures are defined by using the concept of proportional reduction of classification error with...

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Orenes Y, Rabasa A, Rodriguez-Sala JJ, et al. Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy. Entropy (Basel). 2021;23(7)doi: 10.3390/e23070850.
Orenes, Y., Rabasa, A., Rodriguez-Sala, J. J., & Sanchez-Soriano, J. (2021). Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy. Entropy (Basel, Switzerland), 23(7), . https://doi.org/10.3390/e23070850
Orenes, Yolanda, et al. "Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy." Entropy (Basel, Switzerland) vol. 23,7 (2021). doi: https://doi.org/10.3390/e23070850
Orenes Y, Rabasa A, Rodriguez-Sala JJ, Sanchez-Soriano J. Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy. Entropy (Basel). 2021 Jul 01;23(7). doi: 10.3390/e23070850. PMID: 34356391; PMCID: PMC8306704.
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Information Flows of Diverse Autoencoders.

Entropy (Basel, Switzerland)

Lee S, Jo J.
PMID: 34356403
Entropy (Basel). 2021 Jul 05;23(7). doi: 10.3390/e23070862.

Deep learning methods have had outstanding performances in various fields. A fundamental query is why they are so effective. Information theory provides a potential answer by interpreting the learning process as the information transmission and compression of data. The...

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Lee S, Jo J. Information Flows of Diverse Autoencoders. Entropy (Basel). 2021;23(7)doi: 10.3390/e23070862.
Lee, S., & Jo, J. (2021). Information Flows of Diverse Autoencoders. Entropy (Basel, Switzerland), 23(7), . https://doi.org/10.3390/e23070862
Lee, Sungyeop, and Jo, Junghyo. "Information Flows of Diverse Autoencoders." Entropy (Basel, Switzerland) vol. 23,7 (2021). doi: https://doi.org/10.3390/e23070862
Lee S, Jo J. Information Flows of Diverse Autoencoders. Entropy (Basel). 2021 Jul 05;23(7). doi: 10.3390/e23070862. PMID: 34356403; PMCID: PMC8303402.
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[No title available]

Entropy (Basel, Switzerland)

Entropy Editorial Office.
PMID: 34356406
Entropy (Basel). 2021 Jul 06;23(7). doi: 10.3390/e23070865.

On behalf of the Editor-in-Chief, Prof [...].

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Entropy Editorial Office. . Entropy (Basel). 2021;23(7)doi: 10.3390/e23070865.
Entropy Editorial Office. (2021). . Entropy (Basel, Switzerland), 23(7), . https://doi.org/10.3390/e23070865
Entropy Editorial Office. "." Entropy (Basel, Switzerland) vol. 23,7 (2021). doi: https://doi.org/10.3390/e23070865
Entropy Editorial Office. . Entropy (Basel). 2021 Jul 06;23(7). doi: 10.3390/e23070865. PMID: 34356406; PMCID: PMC8306394.
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Causality-Network-Based Critical Hazard Identification for Railway Accident Prevention: Complex Network-Based Model Development and Comparison.

Entropy (Basel, Switzerland)

Li Q, Zhang Z, Peng F.
PMID: 34356405
Entropy (Basel). 2021 Jul 06;23(7). doi: 10.3390/e23070864.

This study investigates a critical hazard identification method for railway accident prevention. A new accident causation network is proposed to model the interaction between hazards and accidents. To realize consistency between the most likely and shortest causation paths in...

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Li Q, Zhang Z, Peng F. Causality-Network-Based Critical Hazard Identification for Railway Accident Prevention: Complex Network-Based Model Development and Comparison. Entropy (Basel). 2021;23(7)doi: 10.3390/e23070864.
Li, Q., Zhang, Z., & Peng, F. (2021). Causality-Network-Based Critical Hazard Identification for Railway Accident Prevention: Complex Network-Based Model Development and Comparison. Entropy (Basel, Switzerland), 23(7), . https://doi.org/10.3390/e23070864
Li, Qian, et al. "Causality-Network-Based Critical Hazard Identification for Railway Accident Prevention: Complex Network-Based Model Development and Comparison." Entropy (Basel, Switzerland) vol. 23,7 (2021). doi: https://doi.org/10.3390/e23070864
Li Q, Zhang Z, Peng F. Causality-Network-Based Critical Hazard Identification for Railway Accident Prevention: Complex Network-Based Model Development and Comparison. Entropy (Basel). 2021 Jul 06;23(7). doi: 10.3390/e23070864. PMID: 34356405; PMCID: PMC8307035.
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An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion.

Entropy (Basel, Switzerland)

Yang L, Li Q, Song X, Cai W, Hou C, Xiong Z.
PMID: 34356407
Entropy (Basel). 2021 Jul 07;23(7). doi: 10.3390/e23070866.

This paper proposes an improved stereo matching algorithm for vehicle speed measurement system based on spatial and temporal image fusion (STIF). Firstly, the matching point pairs in the license plate area with obviously abnormal distance to the camera are...

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Yang L, Li Q, Song X, et al. An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion. Entropy (Basel). 2021;23(7)doi: 10.3390/e23070866.
Yang, L., Li, Q., Song, X., Cai, W., Hou, C., & Xiong, Z. (2021). An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion. Entropy (Basel, Switzerland), 23(7), . https://doi.org/10.3390/e23070866
Yang, Lei, et al. "An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion." Entropy (Basel, Switzerland) vol. 23,7 (2021). doi: https://doi.org/10.3390/e23070866
Yang L, Li Q, Song X, Cai W, Hou C, Xiong Z. An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion. Entropy (Basel). 2021 Jul 07;23(7). doi: 10.3390/e23070866. PMID: 34356407; PMCID: PMC8305597.
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Spatial Entanglement of Fermions in One-Dimensional Quantum Dots.

Entropy (Basel, Switzerland)

Christov IP.
PMID: 34356409
Entropy (Basel). 2021 Jul 07;23(7). doi: 10.3390/e23070868.

The time-dependent quantum Monte Carlo method for fermions is introduced and applied in the calculation of the entanglement of electrons in one-dimensional quantum dots with several spin-polarized and spin-compensated electron configurations. The rich statistics of wave functions provided by...

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Christov IP. Spatial Entanglement of Fermions in One-Dimensional Quantum Dots. Entropy (Basel). 2021;23(7)doi: 10.3390/e23070868.
Christov, I. P. (2021). Spatial Entanglement of Fermions in One-Dimensional Quantum Dots. Entropy (Basel, Switzerland), 23(7), . https://doi.org/10.3390/e23070868
Christov, Ivan P. "Spatial Entanglement of Fermions in One-Dimensional Quantum Dots." Entropy (Basel, Switzerland) vol. 23,7 (2021). doi: https://doi.org/10.3390/e23070868
Christov IP. Spatial Entanglement of Fermions in One-Dimensional Quantum Dots. Entropy (Basel). 2021 Jul 07;23(7). doi: 10.3390/e23070868. PMID: 34356409; PMCID: PMC8305459.
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Showing 1 to 12 of 5206 entries