Results 51 to 60 of about 22,124,812 (200)

Analysis of the structural complexity of Crab Nebula observed at radio frequency using a multifractal approach

Journal of Physics: Complexity
The Crab Nebula is an astrophysical system that exhibits complex morphological patterns at different observing frequencies. We carry out a systematic investigation of the structural complexity of the nebula using publicly available imaging data at radio ...
Athokpam Langlen Chanu, Pravabati Chingangbam, Fazlu Rahman, R K Brojen Singh, Preeti Kharb   +4 more
doaj   +1 more source

A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance

Topics in Cognitive Science, Volume 18, Issue 3, July 2026.
Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot, Julien Patrick Irmer, Monika Tschense, Nikita Kuznetsov, Andreas Højlund, Martin Dietz   +5 more
wiley   +1 more source

Empirical properties of inter-cancellation durations in the Chinese stock market

Frontiers in Physics, 2014
Order cancellation process plays a crucial role in the dynamics of price formation in order-driven stock markets and is important in the construction and validation of computational finance models.
Gao-Feng eGu, Gao-Feng eGu, Xiong eXiong, Xiong eXiong, Wei eZhang, Wei eZhang, Yong-Jie eZhang, Yong-Jie eZhang, Wei-Xing eZhou, Wei-Xing eZhou, Wei-Xing eZhou   +10 more
doaj   +1 more source

An Ensemble Multivariate Multiscale Framework for Prediction of Long‐Term Solar Activity With Nonstationary Oscillations

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract Solar activity is usually characterized by different indices from different perspectives, which are commonly interconnected and contain nonstationary oscillations (NSOs). Given the significant influence of solar activity on space weather, the Earth and humans, it is of great significance to predict solar activity for better understanding not ...
Shan Jiang, Zu‐Guo Yu, Vo Van Anh, Taesam Lee, Yu Zhou   +4 more
wiley   +1 more source

Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis

Discrete Dynamics in Nature and Society, 2017
We study the multifractal properties of water level with a high-frequency and massive time series using wavelet methods (estimation of Hurst exponents, multiscale diagram, and wavelet leaders for multifractal analysis (WLMF)) and multifractal detrended ...
Tongzhou Zhao, Liang Wu, Dehua Li, Yiming Ding   +3 more
doaj   +1 more source

Regional Multifractal Variability of the Overall Seismic Activity in Pakistan from 1820 to 2020 via the Application of MDFA on Earthquake Catalogs

Fractal and Fractional, 2023
The overall seismicity of Pakistan from 1820 to 2020 is analysed in terms of its multifractal behaviour. Seismic events of magnitude ML = 3.0 and above are spatially clustered into four distinct groups, each one corresponding to a different region of ...
Aftab Alam, Dimitrios Nikolopoulos, Demetrios Cantzos, Muhammad Tahir, Tahir Iqbal, Ermioni Petraki, Panayiotis Yannakopoulos, Muhammad Rafique   +7 more
doaj   +1 more source

Analyzing Geomagnetic Data From the Dusheti Observatory During the Intense Magnetic Storms of 2024

Earth and Space Science, Volume 13, Issue 2, February 2026.
Abstract Geomagnetic storms, intense disturbances in the Earth's magnetosphere, pose risks to both technology and human activity in space. In this study, we analyzed geomagnetic field measurements from the Dusheti Observatory in Georgia during the intense geomagnetic storms of March 3, March 24, and 11 May 2024.
Oleg Kharshiladze, Luka Tsulukidze, Aleksandre Ghurchumelia, Luca Sorriso‐Valvo, Khatuna Elbakidze, Emiliya Yordanova, Tamaz Matiashvili   +6 more
wiley   +1 more source

Quantitative Characterization of Gravel Bed Structures Using 2DSSFs and Machine Learning‐Based Surrogate Surface Generation

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Accurate characterization of gravel structures is essential for understanding riverbed roughness, flow resistance, and sediment transport. However, quantifying the definitive characteristics of these gravel structures remains challenging due to the inherent complexity of particle spatial arrangement. This study presents an improved statistical
Jie Qin, Teng Wu
wiley   +1 more source

MULTIFRACTAL DETRENDED FLUCTUATION ANALYSIS BASED ON PSEUDO-BILINEAR FRACTAL INTERPOLATION FUNCTIONS ON METALLIC GLASSES

, 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, HUOJUN RUAN, XIAODONG WANG, QINGGE KONG, JIANZHONG JIANG, QING YU, MEIFENG DAI   +6 more
core   +1 more source