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Pattern Recognition for Earthquake Detection [PDF]

open access: yes, 1987
The detector algorithms in use at date rely on negative decision logic: based on a model of the ambient noise process they detect all deviations, but many of them are false alarms. The principal alternative to this approach is pattern recognition, which tests on positive correlation with some known signal patterns.
openaire   +3 more sources

Unraveling the Evolution of an Unusually Active Earthquake Sequence Near Sheldon, Nevada

open access: yesSeismica, 2023
One of most universal statistical properties of earthquakes is the tendency to cluster in space and time. Yet while clustering is pervasive, individual earthquake sequences can vary markedly in duration, spatial extent, and time evolution.
Daniel Trugman   +3 more
doaj   +1 more source

Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere

open access: yesFrontiers in Astronomy and Space Sciences, 2023
The effectiveness and accuracy of earthquake precursors are measured by the ability of the precursors to predict the time, epicentral distance, and magnitude of the earthquake for short-term earthquake prediction.
Nur Fatin Irdina Zulhamidi   +7 more
doaj   +1 more source

Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms

open access: yesScientific Reports, 2022
Earthquake is one of the natural disasters that have a big impact on society. Currently, there are many studies on earthquake detection. However, the vibrations that were detected by sensors were not only vibrations caused by the earthquake, but also ...
Muhammad Ary Murti   +3 more
doaj   +1 more source

Deep learning detects uncataloged low-frequency earthquakes across regions

open access: yesSeismica
Documenting the interplay between slow deformation and seismic ruptures is essential to understand the physics of earthquakes nucleation. However, slow deformation is often difficult to detect and characterize.
Jannes Münchmeyer   +6 more
doaj   +1 more source

CCFE: A Few-Shot Learning Model for Earthquake Detection and Phase Identification

open access: yesIEEE Access, 2022
Earthquake detection and phase identification are fundamental and challenging tasks in observational seismology. Deep learning has achieved considerable progress in these two tasks.
Peng Zhao, Shao Yongqian, Xia Shian
doaj   +1 more source

Consecutive statistical evaluation framework for earthquake forecasting: Evaluating satellite surface temperature anomaly detection methods

open access: yesJournal of Asian Earth Sciences: X, 2022
Short-term earthquake prediction remains a challenge. In this study, we investigated earthquake predictability using a consecutive statistical evaluation framework (CSEF).
Zhong-Hu Jiao, Xinjian Shan
doaj   +1 more source

Compatibility of Methacrylate Based Resins Controls Interfacial Failure and Toughness in 3D‐Printed Multimaterial Composites

open access: yesAdvanced Engineering Materials, EarlyView.
This work shows that the mechanical performance of multimaterial digital light processing (DLP) printed thermoset composites is governed by resin compatibility and interfacial design rather than spatial patterning alone. Brittle and ductile resin combinations produced premature interfacial failure, while graded interfaces and mechanically compatible ...
Ahmed M. H. Ibrahim   +3 more
wiley   +1 more source

Tough, Ductile, and Strong Hard‐Soft Cementitious Composite Enabled by Multi‐Material Additive Manufacturing

open access: yesAdvanced Materials, EarlyView.
Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine   +5 more
wiley   +1 more source

High resolution catalog of the Luxian (Sichuan, China) MS6.0 earthquake sequence and analysis of the seismogenic structuresKey points

open access: yesEarthquake Science
The epicenter of the Luxian MS6.0 earthquake on September 16, 2021, was located in the southern Sichuan Basin, which is a historically seismically quiescent area.
Huili Guo   +6 more
doaj   +1 more source

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