Results 121 to 130 of about 586,238 (144)

A new class of Lindley distribution: System reliability, simulation and applications. [PDF]

Heliyon
Qayoom D, Rather AA, Alsadat N, Hussam E, Gemeay AM.   +4 more
europepmc   +1 more source

Modeling and Generating Extreme Fluctuations in Time Series with a Multilayer Linear Response Model. [PDF]

Entropy (Basel)
Naritomi Y, Takaishi T, Adachi T.
europepmc   +1 more source

Normalization and cross-entropy connectivity in brain disease classification. [PDF]

iScience
Wu H, Li S, Zeng Y.
europepmc   +1 more source

Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields. [PDF]

Sci Rep
Sindhu TN, Shafiq A, Lone SA, Al-Mdallal QM, Abushal TA.   +4 more
europepmc   +1 more source

The development of an extended Weibull model with applications to medicine, industry and actuarial sciences. [PDF]

Sci Rep
Imran M, Alsadat N, Tahir MH, Jamal F, Elgarhy M, Ahmad H, Johannssen A.   +6 more
europepmc   +1 more source

Information-Theoretic ESG Index Direction Forecasting: A Complexity-Aware Framework. [PDF]

Entropy (Basel)
Öztürk KN, Yiğit ÖE.
europepmc   +1 more source

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Remarks on “Thermodynamic stability conditions for the Tsallis and Rényi entropies” by Ramshaw

Physics Letters A, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guerberoff, G. R., Raggio, G. A.
openaire   +2 more sources

Tsallis Entropy in MV-Algebras

Mathematics
We deal with Tsallis entropy in MV-algebraic dynamical systems. We prove that Tsallis entropy is a submeasure and that it is invariant under isomorphisms.
Giacomo Lenzi, Giuseppina Barbieri
exaly   +2 more sources

Bearings in simulated space conditions running state detecton based on Tsallis entropy-KPCA and optimized fuzzy c-means model

Noise Control Engineering Journal, 2017
Aiming at achieving the bearing running condition and fault recognition for different types and levels especially for bearings used in satellites in space conditions, this research proposes a method based on the Tsallis entropy and fuzzy c-means model optimized by the particle swarm optimization for bearing fault diagnosis research.
Shaojiang Dong, Jinlu Sheng, Baoping Tang, Li Zhong, Xiangyang Xu, Lili Chen, Qiguo Hu, Jiayuan Luo, Ling Zhao, Renxiang Chen   +9 more
openaire   +1 more source