Limitations of fractal dimension estimation algorithms with implications for cloud studies

2006 ◽  
Vol 82 (1-2) ◽  
pp. 433-454 ◽  
Author(s):  
Joe Brewer ◽  
Larry Di Girolamo
Keyword(s):  
Fractal Dimension ◽  
Dimension Estimation ◽  
Estimation Algorithms

Comparison of fractal dimension estimation algorithms for epileptic seizure onset detection

2010 ◽  
Vol 7 (4) ◽  
pp. 046007 ◽  
Author(s):  
G E Polychronaki ◽  
P Y Ktonas ◽  
S Gatzonis ◽  
A Siatouni ◽  
P A Asvestas ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Epileptic Seizure ◽  
Onset Detection ◽  
Seizure Onset ◽  
Dimension Estimation ◽  
Estimation Algorithms

A comparison study of dimension estimation algorithms

2010 ◽  
Author(s):  
Ariel Schlamm ◽  
Ronald G. Resmini ◽  
David Messinger ◽  
William Basener
Keyword(s):  
Comparison Study ◽  
Dimension Estimation ◽  
Estimation Algorithms

scholarly journals A Stochastic Model for the Fractal Dimension Estimation of Asphaltenes Aggregation

2019 ◽  
Vol 8 (6) ◽  
pp. 1992-1995
Keyword(s):  
Surface Roughness ◽  
Fractal Dimension ◽  
Stochastic Model ◽  
Production Systems ◽  
Experimental Results ◽  
Crude Oils ◽  
Dimension Estimation ◽  
Maximum Value ◽  
Solids Deposition

Some of the problems associated with the transportation of crude oils are due to the presence of heavy compounds as asphaltene molecules. This work developed a stochastic model that predicts the fractal dimension of the asphaltene aggregates. It was found that the maximum value of the fractal dimension is 1.71, which corresponds to the reported experimental results. The model can be applied as a universal growing behavior for the analysis of surface roughness when solids deposition is observed in the production systems involving crude oils

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