Multifractal detrended fluctuation analysis in examining scaling properties of the spatial patterns of soil water storage [PDF]
Nonlinear Processes in Geophysics, 2012 Knowledge about the scaling properties of soil water storage is crucial in transferring locally measured fluctuations to larger scales and vice-versa. Studies based on remotely sensed data have shown that the variability in surface soil water has clear ...
A. Biswas, T. B. Zeleke, B. C. Si
doaj +1 more source
Fractal Analysis of the Long‐Term Memory in Precipitation over Bénin (West Africa)
Advances in Meteorology, Volume 2019, Issue 1, 2019., 2019 This study analyzed the long‐term memory (LTM) in precipitation over Bénin synoptic stations from 1951 to 2010 using the detrended fluctuation analysis (DFA) method. Results reveal the existence of positive long‐term memory characteristic in rainfall field.
Medard Noukpo Agbazo +5 more
wiley +1 more source
Performance Comparisons Between MFDFA and EMD Using Neural Network and Support Vector Machine
DEStech Transactions on Engineering and Technology Research, 2018 Multifractal detrended fluctuation analysis (MFDFA) is a powerful tool for discovering dynamics hidden in complex data. Similarly, empirical mode decomposition (EMD) is a typical method for time-frequency analysis of nonstationary data. Many works have applied MFDFA and EMD to get insight into nature of machine vibration signals.
Jin-shan LIN, Chun-hong DOU
openaire +2 more sources
Advances in High Energy Physics, 2016 We have studied the multifractality of pion emission process in 16O-AgBr interactions at 2.1 AGeV and 60 AGeV, 12C-AgBr and 24Mg-AgBr interactions at 4.5 AGeV, and 32S-AgBr interactions at 200 AGeV using Multifractal Detrended Fluctuation Analysis ...
Gopa Bhoumik +3 more
doaj +1 more source
Multifractal Patterns in 17-Year PM10 Time Series in Athens, Greece
, 2022 This paper reports the multifractal characteristics of lengthy PM10 time series from five stations in the Greater Athens Area (GAA), Greece. A novel methodology based on the multifractal detrended fluctuation analysis (MFDFA) is applied to raw and ...
Konstantinos Moustris +4 more
core +1 more source
International Journal of Financial Studies, 2020 This study assesses how the coronavirus pandemic (COVID-19) affects the intraday multifractal properties of eight European stock markets by using five-minute index data ranging from 1 January 2020 to 23 March 2020.
Faheem Aslam +2 more
doaj +1 more source
Hoelder-exponent-MFDFA-based test for long-range correlations in pseudorandom sequences
, 2006 19 pages, 3 figures, 3 ...
Vitanov, Nikolay K. +2 more
openaire +2 more sources
, 2018 Based on the multifractal detrended cross-correlation analysis, which is the most effective way to detect long-range cross-correlation of time series, in this paper, we present a new method called multifractal detrended fluctuation analysis based on ...
YUE ZONG +6 more
core +1 more source
Klasifikasi Penyakit Parkinson Menggunakan Artificial Neural Network (Ann) Berdasarkan Ekstraksi Fitur Multifractal Detrended Fluctuation Analysis (Mfdfa) Pada Sinyal Gait [PDF]
, 2017 Penyakit Parkinson adalah sebuah kelainan pada sistem saraf pusat, yang meliputi sebuah degenerasi awal dari beberapa sel saraf pada bagian terdalam dari otak yang dinamakan basal ganglia dan secara khusus sebuah kehilangan sel-sel saraf (neurons) pada ...
Aditya, Wahyu
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Klasifikasi Penyakit Gagal Jantung Kongestif Menggunakan Artificial Neural Network (ANN) Berdasarkan Ekstraksi Fitur Multifractal Detrended Fluctuation Analysis (MFDFA) Pada Variabilitas Denyut JantungKlasifikasi Penyakit Gagal Jantung Kongestif Menggunakan Artificial Neural Network (ANN) Berdasarkan Ekstraksi Fitur Multifractal Detrended Fluctuation Analysis (MFDFA) Pada Variabilitas Denyut Jantung [PDF]
, 2017 Gagal Jantung Kongestif adalah gejala dan tanda-tanda yang muncul pada pasien yang hatinya tidak mampu menjaga fungsi peredaran darah yang cukup untuk memasok jaringan tubuh dengan oksigen dalam semua keadaan.
Ananta, Dhimas Yoga
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