Results 11 to 20 of about 29,533 (242)
Perceived Complexity as Normalized, Integrated, Localized Shannon Entropy [PDF]
EntropyPerceived complexity is a key component of sensory brain function as it indicates the number of resources necessary to process incoming information. A recently proposed measure of perceived complexity defined it as normalized Shannon entropy.
Sébastien Berquet, Norberto M. Grzywacz
doaj +2 more sources
Harnessing Shannon entropy-based descriptors in machine learning models to enhance the prediction accuracy of molecular properties [PDF]
Journal of Cheminformatics, 2023 Accurate prediction of molecular properties is essential in the screening and development of drug molecules and other functional materials. Traditionally, property-specific molecular descriptors are used in machine learning models.
Rajarshi Guha, Darrell Velegol
doaj +2 more sources
Introduction to logical entropy and its relationship to Shannon entropy [PDF]
4 open, 2022 We live in the information age. Claude Shannon, as the father of the information age, gave us a theory of communications that quantified an “amount of information,” but, as he pointed out, “no concept of information itself was defined.” Logical entropy ...
Ellerman David
doaj +2 more sources
Shannon Type Inequalities for Kapur’s Entropy
Mathematics, 2018 In the paper, by methods of the theory of majorization, the authors establish the Schur m-convexity and Shannon type inequalities for Kapur’s entropy.
Bo-Yan Xi +4 more
doaj +2 more sources
Multi-Level Thresholding Based on Composite Local Contour Shannon Entropy Under Multiscale Multiplication Transform [PDF]
EntropyImage segmentation is a crucial step in image processing and analysis, with multi-level thresholding being one of the important techniques for image segmentation.
Xianzhao Li, Yaobin Zou
doaj +2 more sources
Entropy, 2016 In a power system, the analysis of transient signals is the theoretical basis of fault diagnosis and transient protection theory. Shannon wavelet entropy (SWE) and Shannon wavelet packet entropy (SWPE) are powerful mathematics tools for transient signal ...
Jikai Chen, Yang Li, Jiang Li
exaly +3 more sources
PLoS ONE, 2015 Shannon entropy H and related measures are increasingly used in molecular ecology and population genetics because (1) unlike measures based on heterozygosity or allele number, these measures weigh alleles in proportion to their population fraction, thus ...
Anne Chao +5 more
doaj +3 more sources
Extraction and Assessment of Features Using Shannon Entropy and Rényi Entropy for Chatter Detection in Micro Milling. [PDF]
Micromachines (Basel)Chatter is a common phenomenon in micromachining processes that adversely affects machining quality, reduces tool life, and generates excessive noise that contributes to environmental pollution.
Zheng Z +5 more
europepmc +2 more sources
Shannon Entropy of Ramsey Graphs with up to Six Vertices. [PDF]
Entropy (Basel), 2023 Shannon entropy quantifying bi-colored Ramsey complete graphs is introduced and calculated for complete graphs containing up to six vertices. Complete graphs in which vertices are connected with two types of links, labeled as α-links and &beta ...
Frenkel M, Shoval S, Bormashenko E.
europepmc +2 more sources
Few generalized entropic relations related to Rydberg atoms
Scientific Reports, 2022 We calculate the analytical and numerical values of the position space Shannon entropy, momentum space Shannon entropy, and total Shannon entropy, $$S_\rho$$ S ρ , $$S_\gamma$$ S γ , and $$S_T$$ S T , respectively, of free and trapped Rydberg hydrogen ...
Kirtee Kumar, Vinod Prasad
doaj +1 more source