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Recent advances in earthquake seismology using machine learning
Given the recent developments in machine-learning technology, its application has rapidly progressed in various fields of earthquake seismology,...
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Photonic Seismology: A New Decade of Distributed Acoustic Sensing in Geophysics from 2012 to 2023
This paper delivers an in-depth bibliometric analysis of distributed acoustic sensing (DAS) research within the realm of geophysics, covering the...
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Application of Genetic Algorithm in Volcanology and Seismology
In this chapter after presenting a briefed list of the GA applications, various advanced applications of Genetic Algorithms in the fields of...
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Overview of Artificial Intelligence (AI) and Machine Learning (ML) in Seismology
Undoubtedly one of the most destructive natural catastrophes is an earthquake. Around the world, they frequently result in significant losses in...
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One hundred years of advances in volcano seismology and acoustics
Since the 1919 foundation of the International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI), the fields of volcano...
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Deep Learning: Applications in Seismology and Volcanology
In this chapter, after presenting a list of the DL applications with brief descriptions, various advanced applications of deep learning in the fields...
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Intelligent Methods and Motivations to Use in Volcanology and Seismology
In this chapter we present a brief glance at the various kinds of intelligent methods and also their most important advantages are described....
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Trends in volcano seismology: 2010 to 2020 and beyond
Volcano seismology has been fundamental to our current understanding of crustal magma migration and eruption. The increasing availability of portable...
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Application of computational fluid dynamics in design of viscous dampers - CFD modeling and full-scale dynamic testing
Computational fluid dynamics (CFD) provides a powerful tool for investigating complicated fluid flows. This paper aims to study the applicability of...
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Generative adversarial networks review in earthquake-related engineering fields
Within seismology, geology, civil and structural engineering, deep learning (DL), especially via generative adversarial networks (GANs), represents...
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Natural Oscillations of a Tower-Type High-Rise Building: Modes of Horizontal, Vertical and Rotational Oscillations According to the Standing Wave Method and Verification of the Computational Model
AbstractFor a unique building in the form of a tower with a core of rigidity in the center, experimental studies of natural oscillations by the...
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A Comparative Analysis of Three Computational-Intelligence Metaheuristic Methods for the Optimization of TDEM Data
We focus on the performances of three nature-inspired metaheuristic methods for the optimization of time-domain electromagnetic (TDEM) data: the...
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M-DEM simulation of seismic pounding between adjacent masonry structures
Seismic damage due to pounding between adjacent buildings is often observed after significant earthquake events in old urban centers and globally...
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Site effect estimation in the Tehran basin and its impact on simulation results
Recent earthquake damage distributions have demonstrated that the influence of local geology on ground shaking is a significant factor in engineering...
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Three-Dimensional Urban Subsurface Space Tomography with Dense Ambient Noise Seismic Array
Two-dimensional dense seismic ambient noise array techniques have been widely used to image and monitor subsurface structure characterization in...
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A review of near-surface QS estimation methods using active and passive sources
Seismic attenuation and the associated quality factor ( Q ) have long been studied in various sub-disciplines of seismology, ranging from observational...
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Numerical modeling based on the improved BSO algorithm for asymmetric elastic wave equations
With the continuous research in seismology, the influence of the heterogeneity caused by microstructure interactions of the medium on seismic wave...
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A revision of seismicity models based on complex systems and earthquake networks
Statistical laws such as the Omori and Gutenberg-Richter laws have become one of the most important tools for seismic hazard. The introduction of...
