Dynamic analysis techniques may quantify abnormalities in heart rate behaviour based on non-linear and fractal analysis.The applicability of these new methods for detecting complex heart rate dynamics in coronary heart disease is not well established. To investigate the clinical and prognostic significance of fractal dimension and detrended fluctuation analysis, two different groups were studie...

\,\Te discuss issues involved in estimating the dimension of a fractal point process. We first define the term fractal point process and provide some examples of experiniental phenomena for which they serve as suitable models. We then develop mathematical formulations of fracta.! point processes, and present two methods for dimension estimation and an analysis of their performance. Finally, we ...

This paper reports the results obtained in a speaker identification system based in Bhattacharrya distance, which combines LPderived cepstral coefficients, with a nonlinear dynamic feature namely fractal dimension. The nonlinear dynamic analysis starts with the phase espace reconstruction, and the fractal dimension of the correspondent attractor trajectory is estimated. This analysis is perform...

Shape is one of the most important visual attributes used to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant information of a shape. An approach widely used in shape analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal Dimension are both well-known methodologies to estimate it. This papers presents a co...

Fractal analysis has been applied to describe various aspects connected with the complexity of plant morphology. In this work we determined the fractal dimension of leaves from various species of Peepal leaf, Castrol oil leaf, papaya leaf in order to characterize the structure/architecture of these leaves. The present study deals with the analysis of leaf shapes in terms of fractal geometry wit...

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of the Artificial Neural Networks (ANNs) technique in ore grade estimation. Different training algorithms and numbers of hidden neurons are applied to estimate Cu grade of borehole data in the hypogene zone of porphyry copper-gold deposit, Masjed-Daghi, East Azerbaijan Province (Iran). The ef...

Fractal analysis was applied to study the trends of EEG signals in the hypnotic condition. The subjects were 19 psychiatric outpatients. Hypnotizability was measured with the Hypnotic Induction Profile (HIP). Fifty-four sets of EEG data were analyzed by detrended fluctuation analysis (DFA), a well-established fractal analysis technique. The scaling exponents, which are the results of fractal an...

A fundamental problem of AI is that of how to simulate a particular kind of behaviour – that of intelligence. This paper describes an alternative approach to reproducing action systems by a geometric analysis of behaviour. If the behaviour to be reproduced has a particular character, a character identified by a self-affinity like that of fractal images, it may be possible to infer a program cap...

other fractal-based features as descriptors of the texture of images [2–6]. Applications of the fractal theory in image Fractal dimension has been used for texture analysis as it is highly correlated with the human perception of surface analysis also include image segmentation [2, 6–8], shape roughness. Several methods have been proposed for the estimadescription [9], object characterization [1...

All the geophysical phenomena including river networks and flow time series are fractal events inherently and fractal patterns can be investigated through their behaviors. A non-linear system like a river basin can well be analyzed by a non-linear measure such as the fractal analysis. A bilateral study is held on the fractal properties of the river network and the river flow time series. A movi...