Results 91 to 100 of about 19,552 (217)
Deep Neural Network Model for Hurst Exponent: Learning from R/S Analysis
MathematicsThis paper proposes a deep neural network (DNN) model to estimate the Hurst exponent, a crucial parameter in modelling stock market price movements driven by fractional geometric Brownian motion.
Luca Di Persio, Tamirat Temesgen Dufera
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Journal of Geophysical Research: Atmospheres, Volume 131, Issue 5, 16 March 2026.Abstract In situ measurements of stratospheric aerosol are the only measurements that provide sufficient detail to determine aerosol number, size, surface area, volume/mass, and effective radius; however, these measurements are limited in space and time.
Terry Deshler, Lars E. Kalnajs
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South African Journal of Economic and Management Sciences, 2017 Background: Contingent claims on underlying assets are typically priced under a framework that assumes, inter alia, that the log returns of the underlying asset are normally distributed.
Emlyn Flint, Eben Maré
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Liquid Phase TEM of Diffusing Emulsion Droplets
Small, Volume 22, Issue 13, 3 March 2026.Motion of emulsion droplets was observed via in situ liquid phase transmission electron microscopy. Analysis revealed that the motion is self‐affine and influenced by multiple stochastic processes, as well as a fractal landscape created by the electron beam.
Maria A. Vratsanos +4 more
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International Journal of Electrochemical Science, 2016 A study on the use of Salvia hispanica (Chia) as green corrosion inhibitor for 1018 carbon steel in 0.5 M H2SO4 has been carried out by using electrochemical impedance (EIS) and electrochemical noise measurements (EN). Parameters such as polarization and
I.A. Hermoso-Diaz +2 more
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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 +3 more
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Snow metamorphism: a fractal approach
, 2010 Snow is a porous disordered medium consisting of air and three water phases: ice, vapour and liquid. The ice phase consists of an assemblage of grains, ice matrix, initially arranged over a random load bearing skeleton.
A. D. Frolov +7 more
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Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.Abstract La Soufrière de Guadeloupe volcano exhibits microseismic activity dominated by volcano‐tectonic repeaters, mainly occurring in swarms clustered in a sub‐vertical conduit beneath the Tarissan acid lake (TAS) at depths less than 800 m. Following the April 2018 earthquake (Mlv 4.1), which likely damaged the dome, swarms intensified and show ...
Laëtitia Pantobe +4 more
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Realization of SOC behavior in a dc glow discharge plasma
, 2006 Experimental observations consistent with Self Organized Criticality (SOC) have been obtained in the electrostatic floating potential fluctuations of a dc glow discharge plasma. Power spectrum exhibits a power law which is compatible with the requirement
A.N. Sekar Iyengar +22 more
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Fault Roughness Controls Seismicity Front Migration During Fluid Injection
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.Abstract The increasing occurrence of injection‐induced earthquakes has raised public concern and highlighted the importance of understanding subsurface processes and mechanisms to assess induced seismic hazards and risks. We develop a simple physics‐based model to investigate how fault roughness controls the migration of seismicity during fluid ...
Hsiao‐Fan Lin +2 more
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