Results 61 to 70 of about 2,542 (182)

Multifractal Characteristics of Grain Size Distributions in Braided Delta-Front: A Case of Paleogene Enping Formation in Huilu Low Uplift, Pearl River Mouth Basin, South China Sea

Fractal and Fractional
Multifractal analysis has been used in the exploration of soil grain size distributions (GSDs) in environmental and agricultural research. However, multifractal studies regarding the GSDs of sediments in braided delta-front are currently scarce.
Rui Yuan, Zijin Yan, Rui Zhu, Chao Wang
doaj   +1 more source

Edge‐Oriented DoS/DDoS Intrusion Detection and Supervision Platform

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT This work presents an Edge Node‐Oriented DoS/DDoS Intrusion Detection and Monitoring Platform, a novel anomaly detection system based on temporal analysis with machine learning (ML) and deep learning (DL) algorithms, specifically designed to operate on edge servers with limited resources.
Geraldo Eufrazio Martins Júnior, Thales Guimaraes Marques, Wendley Souza da Silva, Joaquim Celestino Junior   +3 more
wiley   +1 more source

Multifractal analysis of Bitcoin price dynamics

Journal of Business Economics and Management
This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators.
Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea   +3 more
doaj   +1 more source

Multifractal variability in geoelectrical signals and correlations with seismicity: a study case in southern Italy [PDF]

Natural Hazards and Earth System Sciences, 2005
Multifractal fluctuations in the time dynamics of geoelectrical data, recorded in a seismic area of southern Italy, have been revealed using the Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows to detect multifractality in nonstationary
L. Telesca, G. Colangelo, V. Lapenna
doaj  

Inverse Problems in Multifractal Analysis [PDF]

, 2015
60 pages; the part of this version dedicated to measures has been modified according to the version to be published (in Ann. Scient. Ec. Norm. Sup.)
openaire   +2 more sources

Arctic High Resolution Sea‐Ice Forecast System on a Heterogeneous Many‐Core Computing Platform

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.
Abstract This study develops an ensemble forecast system for Arctic sea ice with a horizontal resolution of ∼2 km to resolve linear kinematic features (LKFs). The system is designed to run operationally on the Sunway computing architecture, which employs many‐core processors with a distinct programming logic.
Longjiang Mu, Yue Liu, Yuhu Chen, Hong Wang, Xianyao Chen, Ruizhe Song, Lin Zheng, Junting Chen, Lars Nerger, Lixin Wu   +9 more
wiley   +1 more source

Multifractal properties of a closed contour: a peek beyond the shape analysis.

PLoS ONE, 2014
In recent decades multifractal analysis has been successfully applied to characterize the complex temporal and spatial organization of such diverse natural phenomena as heartbeat dynamics, the dendritic shape of neurons, retinal vessels, rock fractures ...
Paulo Duarte-Neto, Borko Stošić, Tatijana Stošić, Rosangela Lessa, Milorad V Milošević, H Eugene Stanley   +5 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 hardness analysis of rollerrolls

Physical Metallurgy and Heat Treatment of Metals, 2018
Аннотация. Постановка задачи. В связи с технологией производства и эксплуатацией проводить оценку механических свойств  массивных чугунных  отливок не  всегда возможно с помощью натурных испытаний.  Поэтому прогноз  свойств,  в частности листопрокатных чугунных валков, осуществляют с помощью моделирования путем анализа влияния параметров технологии.  К 
Volchuk, V. M., Dudrov, Yu. I.
openaire   +4 more sources