Results 141 to 150 of about 97,428 (295)

Neural network with signal parameters featuring for near‐surface velocity model building

Near Surface Geophysics, Volume 24, Issue 3, Page 289-299, June 2026.
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley   +1 more source

The United States Magnetotelluric Array and the National Impedance Map

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long‐period magnetotelluric stations covering the entirety of the contiguous United States on a quasi‐regular 70 km grid.
Anna Kelbert, Paul A. Bedrosian, Adam Schultz, Gary D. Egbert, Louise Pellerin, Jeffrey J. Love, Andrew Frassetto, Benjamin S. Murphy   +7 more
wiley   +1 more source

Seismic random noise separation and suppression based on improved variational mode decomposition via grey wolf optimization.

PLoS ONE
Seismic noise separation and suppression is an important topic in seismic signal processing to improve the quality of seismic data recorded at monitoring stations.
Zhenjing Yao, Wenzhe Li, Jingyi Zhu, Lei Hao, Mengtao Xing   +4 more
doaj   +1 more source

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma   +3 more
wiley   +1 more source

Terrestrial Analogs to Titan for Geophysical Research

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Saturn's moon Titan exhibits remarkable parallels to the Earth in many geophysical and geological processes not found elsewhere in the solar system at the present day. These include a nitrogen atmosphere with a condensible gas—methane—replacing the Earth's water, leading to an active meteorology with rainfall and surface manifestations ...
Conor A. Nixon, Samuel Birch, Audrey Chatain, Charles Cockell, Kendra K. Farnsworth, Peter M. Higgins, Stéphane Le Mouélic, Rosaly M. C. Lopes, Michael J. Malaska, Mohit Melwani Daswani, Kelly E. Miller, Catherine D. Neish, Olaf G. Podlaha, Jani Radebaugh, Lauren R. Schurmeier, Ashley Schoenfeld, Krista M. Soderlund, Anezina Solomonidou, Christophe Sotin, Nicholas A. Teanby, Tetsuya Tokano, Steven D. Vance   +21 more
wiley   +1 more source

Minor epic: Notes toward a different “Anthropoetry”

Anthropology and Humanism, Volume 51, Issue 1, June 2026.
Abstract Anthropologists have often turned to poetry as a means of accessing emotional registers of which conventional academic prose is unable to avail. In doing so, they have tacitly conflated poetry with lyric poetry, today probably the most widely practiced poetic genre, associated in particular with the expression of inner feelings and subjectival
Stuart McLean
wiley   +1 more source

Suppressing random noise in seismic signals using wavelet thresholding based on improved chaotic fruit fly optimization

EURASIP Journal on Advances in Signal Processing
Suppressing random noise in seismic signals is an important issue in research on processing seismic data. Such data are difficult to interpret because seismic signals usually contain a large amount of random noise.
Feng Yang, Jun Liu, Qingming Hou, Lu Wu
doaj   +1 more source

Home Safe Home: Safety Gains Through Telework During the Covid‐19 Pandemic

LABOUR, Volume 40, Issue 2, Page 162-192, June 2026.
ABSTRACT This paper exploits exogenous shifts in work organisation during the Covid‐19 pandemic to study the implications of hybrid and remote work arrangements on occupational safety. Combining accident registers and household survey microdata from Hungary, we are able to address potential selection and reporting bias, and reliably identify the ...
Bálint Menyhért, Szilárd Erhart
wiley   +1 more source

Seismic Precursors to the Blatten, Switzerland Landslide Revealed by Unsupervised Machine Learning

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract The transition from stable to unstable states in geological systems, such as landslides and fault zones, remains poorly understood. Seismic precursors and foreshocks related to the transition, if present, are often difficult to observe, and their interpretation remains challenging.
Reza Esfahani, Michel Campillo, Léonard Seydoux, Kiwamu Nishida, Guillaume Favre‐Bulle   +4 more
wiley   +1 more source

Does Geocentric Sea‐Level Rise in the Maritime Continent Reveal a Tectonic Fingerprint?

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract The islands of the Maritime Continent are highly vulnerable to sea‐level rise driven by barystatic, sterodynamic, and vertical land motion (VLM) processes. While tectonics is known to affect relative sea‐level through VLM, its influence on long‐term geocentric sea level (GSL) through crustal deformation and gravity field perturbations remains ...
Nidheesh Gangadharan, Sophie Coulson, Brent G. Delbridge, Grace Ertel, Aurel Moise, Matthew D. Palmer   +5 more
wiley   +1 more source