Financial Time Series Modelling Using Fractal Interpolation Functions
AppliedMath, 2023 Time series of financial data are both frequent and important in everyday practice. Numerous applications are based, for example, on time series of asset prices or market indices.
Polychronis Manousopoulos +2 more
doaj +1 more source
A Concretization of an Approximation Method for Non-Affine Fractal Interpolation Functions
Mathematics, 2021 The present paper concretizes the models proposed by S. Ri and N. Secelean. S. Ri proposed the construction of the fractal interpolation function (FIF) considering finite systems consisting of Rakotch contractions, but produced no concretization of the ...
Alexandra Băicoianu +2 more
doaj +1 more source
Fractional Calculus of Fractal Interpolation Function on [0,b](b>0)
Abstract and Applied Analysis, 2014 The paper researches the continuity of fractal interpolation function’s fractional order integral on [0,+∞) and judges whether fractional order integral of fractal interpolation function is still a fractal interpolation function on [0,b](b>0) or not ...
XueZai Pan
doaj +1 more source
Application of a four-dimensional space fractal interpolation algorithm in grade estimation
工程科学学报, 2015 Kriging interpolation is a widely used low-pass filter interpolation method, but it cannot reconstruct the high-frequency, low-frequency and partial information of original information.
HU Nai-lian +3 more
doaj +1 more source
Numerical study of Schramm-Loewner Evolution in the random 3-state Potts model [PDF]
, 2010 We have numerically studied the properties of the interface induced in the ferromagnetic random-bond three-state Potts model by symmetry-breaking boundary conditions. The fractal dimension $d_f$ of the interface was determined.
Chatelain, Christophe
core +3 more sources
Fractal interpolation on the Koch Curve
Computers & Mathematics with Applications, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. Paramanathan, R. Uthayakumar 0001
openaire +2 more sources
Fast minimum variance wavefront reconstruction for extremely large telescopes [PDF]
, 2010 We present a new algorithm, FRiM (FRactal Iterative Method), aiming at the reconstruction of the optical wavefront from measurements provided by a wavefront sensor.
Béchet +25 more
core +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
New Approach to Fractal Approximation of Vector-Functions
Abstract and Applied Analysis, 2015 This paper introduces new approach to approximation of continuous vector-functions and vector sequences by fractal interpolation vector-functions which are multidimensional generalization of fractal interpolation functions.
Konstantin Igudesman +2 more
doaj +1 more source
Adaptive Interpolation Scheme for Image Magnification Based on Local Fractal Analysis
IEEE Access, 2020 In this paper, we constructed a new rational fractal interpolation model with scale factors and shape parameters. The model obtains different expressions by changing the scale factor, according with the diversity of image features.
Gang Song +5 more
doaj +1 more source