Results 171 to 180 of about 96,107 (273)
Testing Audio Compression Autoencoders for Seismology: Moving Toward Foundation Models
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Efforts to develop foundation models (FMs) for seismic waveform analysis are beginning to advance with progress still needed for geophysics applications. FMs learn a generalized representation of the data using a self‐supervised approach, thus allowing several downstream tasks to be performed in a unified framework.
Laura Laurenti +5 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo‐tsunamis and paleo‐earthquakes. Inversion to estimate flow conditions from turbidites offers valuable insights into the magnitudes of paleo‐seismic and tsunami events.
Seiya Fujishima, Hajime Naruse
wiley +1 more source
Seismic structure of the 2015 Mw7.8 Gorkha earthquake revealed by ambient seismic noise and teleseismic surface wave tomography. [PDF]
Sci RepLü Z, Lei J, Kong Q, Liu Q, Sun J.
europepmc +1 more source
Should all Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Geophysical data collected from active field sites are often contaminated by complex and heterogeneous noise, obscuring weak seismic events, and complicating automated interpretation. Although deep learning offers promising solutions for seismic processing, its performance is highly sensitive to the nature of training noise, especially under ...
S. Alsinan +4 more
wiley +1 more source
Earthquake Source Depth Determination Using Single Station Waveforms and Deep Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract In areas with limited station coverage, earthquake depth constraints are much less accurate than their latitude and longitude. Traditional travel‐time‐based location methods struggle to constrain depths due to imperfect station distribution and the strong trade‐off between source depth and origin time.
Wenda Li, Miao Zhang
wiley +1 more source
Space Weather, Volume 24, Issue 2, February 2026.Abstract A demonstrated failure mode for operational solar flare forecasting is the inability to forecast flares that occur near, or just beyond, the solar limb. To address this shortcoming, we develop a “4π $4{\uppi }$” full‐heliosphere event forecasting framework and evaluate its statistical classification ability against this specific challenge.
K. D. Leka +5 more
wiley +1 more source
Tectonics, Volume 45, Issue 2, February 2026.Abstract An updated approach to seismically constrained modeling of gravity data reveals two broad, NW‐trending low‐density zones in the mantle lithosphere beneath the Canadian Cordillera. The low‐density zones coincide with a shallow lithosphere‐asthenosphere boundary (LAB), a shallow Curie‐point depth, and the location of Quaternary volcanoes.
Nathan Hayward, Tark S. Hamilton
wiley +1 more source
Retrieving Three‐Dimensional Deformation in Groundwater Pumping Areas Based on InSAR Data
Water Resources Research, Volume 62, Issue 2, February 2026.Abstract Monitoring three‐dimensional (3D) surface deformation in groundwater pumping areas remains a significant challenge, as conventional InSAR techniques are constrained by their limited sensitivity to north‐south displacement. This study develops an inversion approach—the Vertical Gradient‐Constrained Strain Model (VG‐SM3D)—that combines multi ...
Guangli Su +4 more
wiley +1 more source