Results 121 to 130 of about 1,908 (201)
Phase transitions in explorations seismology : statistical mechanics meets information theory
, 2007 n this paper, two different applications of phase transitions to exploration seismology will be discussed. The first application concerns a phase diagram ruling the recovery conditions for seismic data volumes from incomplete and noisy data while the ...
Herrmann, Felix J.
core
Adapting Deep Learning Phase Detectors for Seismic Array Processing
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Deep learning (DL) has considerably advanced single‐station seismic phase detection, but its integration into seismic array processing remains largely unexplored. We evaluate three strategies for adapting the previously developed TPhaseNet detector for regional phase detection to array data: (a) ensemble detection through stacking of single ...
A. Köhler +3 more
wiley +1 more source
A Machine Learning Approach for Volcanic Eruption Mass Estimation
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Estimation of total volcanic erupted mass—the primary metric of eruption magnitude—is typically performed post‐eruption relying on dense monitoring of ground‐based seismology, gravity and deformation instrumentation, and therefore exists for only ∼100 of ∼1280 volcanoes worldwide.
Naeim Mousavi +2 more
wiley +1 more source
Macroseismology in Finland from the 1730s to the 2000s : Part 1: History of the macroseismic questionnaire [PDF]
, 2017 The present article is the first part of a snapshot of macroseismology in Finland from the 1730s to the 2000s. In the 1730s, more numerous and informative earthquake reports began to appear.
Mäntyniemi, Päivi
core
Statistical Seismology Science Gateway
, 2014 The book describes the science gateway building technology developed in the SCI-BUS European project and its adoption and customization method, by which user communities, such as biologists, chemists, and astrophysicists, can build customized, domain ...
Akkaya, Ayşen +6 more
core +1 more source
PtProcess: An R Package for Modelling Marked Point Processes Indexed by Time
This paper describes the package PtProcess which uses the R statistical language. The package provides a unified approach to fitting and simulating a wide variety of temporal point process or temporal marked point process models. The models are specified
David Harte
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Annals of Public and Cooperative Economics, Volume 97, Issue 2, Page 469-501, June 2026.Abstract This study investigates whether prior exposure to natural disasters influenced individual compliance with non‐pharmaceutical interventions (NPIs), specifically lockdown measures, during the Corona Virus Infectious Disease 2019 (COVID‐19) pandemic. Focusing on the Marche region of Italy, which experienced a severe earthquake in 2016, we exploit
Vincenzo Alfano +2 more
wiley +1 more source
The statistical education of Harold Jeffreys
, 2005 The paper considers the statistical work of the physicist Harold Jeffreys. In 1933-4 Jeffreys had a controversy with R.A. Fisher, the leading statistician of the time. Prior to the encounter, Jeffreys had worked on probability as the basis for scientific
John Aldrich, Aldrich, John
core +1 more source
The statistical education of Harold Jeffreys [PDF]
The paper considers the statistical work of the applied mathematician Harold Jeffreys. In 1933-4 Jeffreys had a controversy with R. A. Fisher, the leading statistician of the time.
Aldrich, John
core +1 more source
Forecasting Future Earthquakes with Machine Learning Models Based on Seismic Prediction Zoning
Applied SciencesPredicting future seismic trends and occurrence of earthquakes remains a long-standing challenge in seismology. Despite substantial efforts to unravel the physical mechanisms underlying earthquake occurrence, currently, no well-defined physical or ...
Xiaolin Chen, Daicheng Peng, Li Li
doaj +1 more source