Relevant bibliographies by topics / Tsallis entropy

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Tsallis entropy'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Tsallis entropy"

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Manije, Sanei Tabass, Mohtashami Borzadaran Gholamreza, and Amini Mohammad. "Conditional Tsallis Entropy." Cybernetics and Information Technologies 13, no. 2 (2013): 37–42. http://dx.doi.org/10.2478/cait-2013-0012.

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Abstract In this paper, the conditional Tsallis entropy is defined on the basis of the conditional Renyi entropy. Regarding the fact that Renyi entropy is the monotonically increasing function of Tsallis entropy, a relationship has also been presented between the joint Tsallis entropy and conditional Tsallis entropy.
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Markechová, Dagmar. "Tsallis Entropy of Fuzzy Dynamical Systems." Mathematics 6, no. 11 (2018): 264. http://dx.doi.org/10.3390/math6110264.

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This article deals with the mathematical modeling of Tsallis entropy in fuzzy dynamical systems. At first, the concepts of Tsallis entropy and Tsallis conditional entropy of order where is a positive real number not equal to 1, of fuzzy partitions are introduced and their mathematical behavior is described. As an important result, we showed that the Tsallis entropy of fuzzy partitions of order satisfies the property of sub-additivity. This property permits the definition of the Tsallis entropy of order of a fuzzy dynamical system. It was shown that Tsallis entropy is an invariant under isomorp
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Teixeira, Andreia, André Souto, and Luís Antunes. "On Conditional Tsallis Entropy." Entropy 23, no. 11 (2021): 1427. http://dx.doi.org/10.3390/e23111427.

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There is no generally accepted definition for conditional Tsallis entropy. The standard definition of (unconditional) Tsallis entropy depends on a parameter α that converges to the Shannon entropy as α approaches 1. In this paper, we describe three proposed definitions of conditional Tsallis entropy suggested in the literature—their properties are studied and their values, as a function of α, are compared. We also consider another natural proposal for conditional Tsallis entropy and compare it with the existing ones. Lastly, we present an online tool to compute the four conditional Tsallis ent
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KALOGEROPOULOS, NIKOS. "TSALLIS ENTROPY COMPOSITION AND THE HEISENBERG GROUP." International Journal of Geometric Methods in Modern Physics 10, no. 07 (2013): 1350032. http://dx.doi.org/10.1142/s0219887813500321.

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We present an embedding of the Tsallis entropy into the three-dimensional Heisenberg group, in order to understand the meaning of generalized independence as encoded in the Tsallis entropy composition property. We infer that the Tsallis entropy composition induces fractal properties on the underlying Euclidean space. Using a theorem of Milnor/Wolf/Tits/Gromov, we justify why the underlying configuration/phase space of systems described by the Tsallis entropy has polynomial growth for both discrete and Riemannian cases. We provide a geometric framework that elucidates Abe's formula for the Tsal
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Shrahili, Mansour, and Mohamed Kayid. "Residual Tsallis Entropy and Record Values: Some New Insights." Symmetry 15, no. 11 (2023): 2040. http://dx.doi.org/10.3390/sym15112040.

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Recently, the uncertainty aspects of record values have been increasingly studied in the literature. In this paper, we study the residual Tsallis entropy of upper record values coming from random samples. In the continuous case, we define the Tsallis entropy quantity for the residual lifetime of upper record values in general distributions as the residual Tsallis entropy of upper record values coming from a uniform distribution. We also obtain a lower bound on the residual Tsallis entropy of upper data set values originating from an arbitrary continuous probability distribution. We also discus
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TRANDAFIR, Romică, Vasile PREDA, Sorin DEMETRIU, and Ion MIERLUŞ-MAZILU. "VARMA-TSALLIS ENTROPY: PROPERTIES AND APPLICATIONS." Review of the Air Force Academy 16, no. 2 (2018): 75–82. http://dx.doi.org/10.19062/1842-9238.2018.16.2.8.

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Carolina, Sparavigna Amelia. "Relations Between Tsallis and Kaniadakis Entropic Measures and Rigorous Discussion of Conditional Kaniadakis Entropy." International Journal of Sciences Volume 4, no. 2015-10 (2015): 47–50. https://doi.org/10.5281/zenodo.3349033.

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Tsallis and Kaniadakis entropies are generalizing the Shannon entropy and have it as their limit when their entropic indices approach specific values. Here we show some relations existing between Tsallis and Kaniadakis entropies. We will also propose a rigorous discussion of the conditional Kaniadakis entropy, deduced from these relations.Read Complete Article at ijSciences: V4201511866 AND DOI: http://dx.doi.org/10.18483/ijSci.866
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Chen, Ji Kai, Hao Yu Li, Shi Yan Yang, and Bao Quan Kou. "A New Method for Extracting Transient Signal Feature in Transmission System Based on Tsallis Wavelet Entropy." Advanced Materials Research 433-440 (January 2012): 2417–22. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2417.

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To reduce the computing complexity of Shannon wavelet entropy(WE), Tsallis WE algorithm was proposed and implemented by combining Tsallis entropy with lifting wavelet transform(LWT), which provided a new method to extract features of transient signals in transmission system. By adjusting the nonextension index, the property of Tsallis entropy was analyzed, and the relations between Tsallis entropy and Shannon entropy were discussed. Taking for instance Tsallis wavelet energy entropy(WEE), the computing complexity of Tsallis WE was analyzed and compared with Shannon WE. In order to verify the p
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Wei, Lu. "On the Exact Variance of Tsallis Entanglement Entropy in a Random Pure State." Entropy 21, no. 5 (2019): 539. http://dx.doi.org/10.3390/e21050539.

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The Tsallis entropy is a useful one-parameter generalization to the standard von Neumann entropy in quantum information theory. In this work, we study the variance of the Tsallis entropy of bipartite quantum systems in a random pure state. The main result is an exact variance formula of the Tsallis entropy that involves finite sums of some terminating hypergeometric functions. In the special cases of quadratic entropy and small subsystem dimensions, the main result is further simplified to explicit variance expressions. As a byproduct, we find an independent proof of the recently proven varian
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Furuichi, S. "On Uniqueness Theorems for Tsallis Entropy and Tsallis Relative Entropy." IEEE Transactions on Information Theory 51, no. 10 (2005): 3638–45. http://dx.doi.org/10.1109/tit.2005.855606.

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Dissertations / Theses on the topic "Tsallis entropy"

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Blažek, Petr. "Entropické modely datového provozu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220416.

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This thesis solves possibility of using entropy for anomaly detection in data communication and especially for security attacks. The main advantage of using entropy is ability to identify unknown attacks because entropy detects changes in network traffic but not the content as existing methods. In this work was tested the suitability of different models entropy (Shannon, Renyi, Tsallis). Also been tested the effect of Renyi and Tsallis parameter on resulting entropy. From the resulting values, I found that all tested entropy achieve good result in the identification of anomalies in network tra
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Mathew, Blesy Anu. "ENTROPY OF ELECTROENCEPHALOGRAM (EEG) SIGNALS CHANGES WITH SLEEP STATE." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_theses/203.

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We hypothesized that temporal features of EEG are altered in sleep apnea subjects comparedto normal subjects. The initial aim was to develop a measure to discriminate sleep stages innormals. The longer-term goal was to apply these methods to identify differences in EEGactivity in sleep apnea subjects from normals. We analyzed the C3A2 EEG and anelectrooculogram (EOG) recorded from 9 normal adults awake and in rapid eye movement(REM) and non-REM sleep. The EEG signals were filtered to remove EOG contamination. Twomeasures of the irregularity of EEG signals, Sample Entropy (SpEn) and Tsallis Ent
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Barizon, Gustavo Canavaci. "Métodos de análise de imagens aplicados à caracterização tecidual, perfusão miocárdica e inervação autonômica em MRI e SPECT no contexto da doença de Chagas." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-25062015-140404/.

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A doença de Chagas possui uma importante relevância clínica, sendo uma das principais causas de mortalidade e morbidade na América Latina. As relações entre a lesão tecidual miocárdica e os defeitos na inervação autonômica na doença de Chagas são pouco conhecidas. Este trabalho descreve o desenvolvimento e aplicação de métodos de segmentação, corregistro e análise de imagens capazes de prover uma análise integrada das lesões teciduais através do imageamento de ressonância magnética (MRI), perfusão miocárdica e inervação autonômica, disponíveis através da tomografia de emissão de fótons (SPECT)
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Pougaza, Doriano-Boris. "Utilisation de la notion de copule en tomographie." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00684637.

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Cette thèse porte sur le lien entre la tomographie et la notion de copule. La tomographie à rayons X consiste à (re)construire la structure cachée d'un objet (une densité de matière, la distribution d'une quantité physique, ou une densité de loi conjointe) à partir de certaines données obtenues ou mesurées de l'objet (les projections, les radiographies, les densités marginales). Le lien entre les mesures et l'objet se modélise mathématiquement par la Transformée à Rayons X ou la Transformée de Radon. Par exemple, dans les problèmes d'imagerie en géométrie parallèle, lorsqu'on a seulement deux
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Godoy, Ricardo de [UNESP]. "Espaço de Hilbert e quantificação de emaranhamento via entropia não extensiva." Universidade Estadual Paulista (UNESP), 2005. http://hdl.handle.net/11449/94299.

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Made available in DSpace on 2014-06-11T19:27:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-12-16Bitstream added on 2014-06-13T20:08:14Z : No. of bitstreams: 1 godoy_r_me_sjrp.pdf: 1009803 bytes, checksum: 156b74c6b6bc9b086abf40743673384e (MD5)<br>Em considerando-se dois subsistemas A e B com espaço de estados HA e HB e com o espaço do sistema total ( A+B ) associado ao produto tensorial HA ? HB, alguns vetores desse sistema total podem ser decompostos em um produto tensorial de dois vetores descrevendo o estado do sistema A e B. Quando essa decomposição não é possível, diz-se que
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Brandão, Camila [UNESP]. "Ensaios sobre computação e informação quânticas: fundamentação e simulações sobre o efeito da entropia." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/89353.

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Made available in DSpace on 2014-06-11T19:24:01Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-04-30Bitstream added on 2014-06-13T18:51:25Z : No. of bitstreams: 1 brandao_c_me_sjrp.pdf: 2464888 bytes, checksum: 22ba55e346e2ad76af2e1695d3998ff4 (MD5)<br>Nesta dissertação, além da apresentação de um ensaio teórico sobre a fundamentação da Mecânica Quântica, Computação, Informação Quântica, Criptografia e Entropias Quânticas, serão mostradas, de forma inédita, algumas implementações sobre o efeito da Entropia no Emaranhamento Quântico, importante para processos de transmissão da Informa
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Budihal, Prasad Adhokshaja Achar. "Region of Interest Based Compression of Grayscale Images." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5842.

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Image compression based on Region of Interest (ROI) has been one of the hot topics of interest in image processing. There is not a single widely accepted method for detecting the ROI automatically form an image. To reduce the transmission bandwidth and storage space requirements of gray scale images, an algorithm is suggested for detecting the ROI automatically based on Tsallis entropy method. Tsallis entropy method is used to segment the image into two segments, the ROI and the background. These two segments can then be compressed at different rates, to avoid losing information in the ROI whi
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Lopes, Fabricio Martins. "Redes complexas de expressão gênica: síntese, identificação, análise e aplicações." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-27072011-105810/.

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Os avanços na pesquisa em biologia molecular e bioquímica permitiram o desenvolvimento de técnicas capazes de extrair informações moleculares de milhares de genes simultaneamente, como DNA Microarrays, SAGE e, mais recentemente RNA-Seq, gerando um volume massivo de dados biológicos. O mapeamento dos níveis de transcrição dos genes em larga escala é motivado pela proposição de que o estado funcional de um organismo é amplamente determinado pela expressão de seus genes. No entanto, o grande desafio enfrentado é o pequeno número de amostras (experimentos) com enorme dimensionalidade (genes). Dess
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Prehl, Janett. "Diffusion on fractals and space-fractional diffusion equations." Doctoral thesis, Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-201001068.

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Ziel dieser Arbeit ist die Untersuchung der Sub- und Superdiffusion in fraktalen Strukturen. Der Fokus liegt auf zwei separaten Ansätzen, die entsprechend des Diffusionbereiches gewählt und variiert werden. Dadurch erhält man ein tieferes Verständnis und eine bessere Beschreibungsweise für beide Bereiche. Im ersten Teil betrachten wir subdiffusive Prozesse, die vor allem bei Transportvorgängen, z. B. in lebenden Geweben, eine grundlegende Rolle spielen. Hierbei modellieren wir den fraktalen Zustandsraum durch endliche Sierpinski Teppiche mit absorbierenden Randbedingungen und lösen dann die Ma
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Brandão, Camila. "Ensaios sobre computação e informação quânticas : fundamentação e simulações sobre o efeito da entropia /." São José do Rio Preto : [s.n.], 2010. http://hdl.handle.net/11449/89353.

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Orientador: Manoel Ferreira Borges Neto<br>Banca: Waldir Leite Roque<br>Banca: José Márcio Machado<br>Resumo: Nesta dissertação, além da apresentação de um ensaio teórico sobre a fundamentação da Mecânica Quântica, Computação, Informação Quântica, Criptografia e Entropias Quânticas, serão mostradas, de forma inédita, algumas implementações sobre o efeito da Entropia no Emaranhamento Quântico, importante para processos de transmissão da Informação Quântica, com o uso dos programas Mathematica e Matlab. Primeiramente e apresentado um breve histórico sobre a Computação Quântica e a Informação Quâ
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Books on the topic "Tsallis entropy"

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Singh, Vijay P. Introduction to Tsallis Entropy Theory in Water Engineering. Taylor & Francis Group, 2016.

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Singh, Vijay P. Introduction to Tsallis Entropy Theory in Water Engineering. Taylor & Francis Group, 2016.

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Singh, Vijay P. Introduction to Tsallis Entropy Theory in Water Engineering. Taylor & Francis Group, 2016.

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Singh, Vijay P. Introduction to Tsallis Entropy Theory in Water Engineering. Taylor & Francis Group, 2016.

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Introduction to Tsallis Entropy Theory in Water Engineering. Taylor & Francis Group, 2015.

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Singh, Vijay P. Introduction to Tsallis Entropy Theory in Water Engineering. CRC Press, 2016. http://dx.doi.org/10.1201/b19113.

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Singh, Vijay P. Introduction to Tsallis Entropy Theory in Water Engineering. Taylor & Francis Group, 2017.

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Thompson, Roney Leon. Derivativos de Energia e Entropia NÃo-Extensiva de Tsallis. Independently Published, 2019.

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Book chapters on the topic "Tsallis entropy"

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Oliva, Diego, Mohamed Abd Elaziz, and Salvador Hinojosa. "Tsallis Entropy for Image Thresholding." In Metaheuristic Algorithms for Image Segmentation: Theory and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12931-6_9.

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Ramamurthy, G., and T. Jagannadha Swamy. "Gibbs-Shannon Entropy and Related Measures: Tsallis Entropy." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4058-9_1.

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Maya, R., M. R. Irshad, Christophe Chesneau, Francesco Buono, and Maria Longobardi. "Non-parametric Estimation of Tsallis Entropy and Residual Tsallis Entropy Under $$\rho $$-Mixing Dependent Data." In Flexible Nonparametric Curve Estimation. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-66501-1_5.

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Alcântara, Rafaela, Perfilino Ferreira Junior, and Aline Ramos. "Tsallis Entropy Extraction for Mammographic Region Classification." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52277-7_55.

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Rong, Lan, and Fan Jiu-lun. "Fuzzy Divergences Based on Tsallis Relative Entropy." In Quantitative Logic and Soft Computing 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15660-1_34.

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Naidu, M. S. R., and P. Rajesh Kumar. "Tsallis Entropy Based Image Thresholding for Image Segmentation." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3874-7_34.

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Sheraz, Muhammad, Vasile Preda, and Silvia Dedu. "Tsallis and Kaniadakis Entropy Measures for Risk Neutral Densities." In Computer Aided Systems Theory – EUROCAST 2017. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74727-9_7.

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Amari, Shun-ichi. "$$\alpha $$-Geometry, Tsallis q-Entropy and Positive-Definite Matrices." In Information Geometry and Its Applications. Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55978-8_4.

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Sarkar, Soham, Swagatam Das, and Sheli Sinha Chaudhuri. "Multilevel Image Thresholding Based on Tsallis Entropy and Differential Evolution." In Swarm, Evolutionary, and Memetic Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35380-2_3.

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Xu, Qing, Shiqiang Bao, Rui Zhang, Ruijuan Hu, and Mateu Sbert. "Adaptive Sampling for Monte Carlo Global Illumination Using Tsallis Entropy." In Computational Intelligence and Security. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596981_147.

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Conference papers on the topic "Tsallis entropy"

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Liu, Yanjun, Haixia Yan, Ruiqi Liu, et al. "Infrared Image Segmentation Method Based on Tsallis Entropy." In 2024 3rd International Conference on Artificial Intelligence and Computer Information Technology (AICIT). IEEE, 2024. http://dx.doi.org/10.1109/aicit62434.2024.10730601.

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Rey, Andrea, and Juliana Gambini. "Distinguishing Samples from the $\mathcal{G}_{I}^{0}$ Distribution by using Tsallis Entropy." In 2024 L Latin American Computer Conference (CLEI). IEEE, 2024. http://dx.doi.org/10.1109/clei64178.2024.10700078.

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Rey, Andrea, Juliana Gambini, Magdalena Lucini, and Alejandro C. Frery. "Despeckling Filter Based on the Tsallis Entropy of the $\mathcal{G}^{0}_{I}$ Distribution." In 2024 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, 2024. http://dx.doi.org/10.1109/argencon62399.2024.10735832.

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Kanzawa, Yuchi. "Three Fuzzy Clustering Algorithms for Nominal Data: Enhancement Through Tsallis Entropy-Based Feature Weighting and Q-Divergence-Based Fuzzification." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611985.

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Kalogeropoulos, Nikos. "Tsallis entropy and hyperbolicity." In 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4825870.

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Teixeira, Andreia, André Souto, and Luís Antunes. "On Conditional Tsallis Entropy." In Entropy 2021: The Scientific Tool of the 21st Century. MDPI, 2021. http://dx.doi.org/10.3390/entropy2021-09750.

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Goto, Kentaro, and Masato Uchida. "Tsallis Entropy Based Labelling." In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2020. http://dx.doi.org/10.1109/icmla51294.2020.00015.

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Harremoës, Peter, Sumiyoshi Abe, Hans Herrmann, Piero Quarati, Andrea Rapisarda, and Constantino Tsallis. "Projections maximizing Tsallis entropy." In COMPLEXITY, METASTABILITY, AND NONEXTENSIVITY: An International Conference. AIP, 2007. http://dx.doi.org/10.1063/1.2828766.

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Nieto-Chaupis, Huber. "The Tsallis Entropy as a Social Entropy." In 2019 IEEE 1st Sustainable Cities Latin America Conference (SCLA). IEEE, 2019. http://dx.doi.org/10.1109/scla.2019.8905535.

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Tanaka, Masaru, Takashi Watanabe, and Taketoshi Mishima. "Tsallis entropy in scale spaces." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Longin J. Latecki, Robert A. Melter, David M. Mount, and Angela Y. Wu. SPIE, 1999. http://dx.doi.org/10.1117/12.364102.

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Reports on the topic "Tsallis entropy"

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Danylchuk, H., V. Derbentsev, Володимир Миколайович Соловйов, and A. Sharapov. Entropy analysis of dynamic properties of regional stock markets. Society for Cultural and Scientific Progress in Central and Eastern Europe, 2016. http://dx.doi.org/10.31812/0564/1154.

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This paper examines entropy analysis of regional stock markets. We propose and empirically demonstrate the effectiveness of using such entropy as sample entropy, wavelet and Tsallis entropy as a measure of uncertainty and instability of such complex systems as regional stock markets. Our results show that these entropy measures can be effectively used as crisis prediction indicators.
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Soloviev, Vladimir, Andrii Bielinskyi, and Viktoria Solovieva. Entropy Analysis of Crisis Phenomena for DJIA Index. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3179.

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The Dow Jones Industrial Average (DJIA) index for the 125-year-old (since 1896) history has experienced many crises of different nature and, reflecting the dynamics of the world stock market, is an ideal model object for the study of quantitative indicators and precursors of crisis phenomena. In this paper, the classification and periodization of crisis events for the DJIA index have been carried out; crashes and critical events have been highlighted. Based on the modern paradigm of the theory of complexity, a spectrum of entropy indicators and precursors of crisis phenomena have been proposed
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