Results 231 to 240 of about 168,552 (354)

Should all Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness

open access: yesJournal 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

open access: yesJournal 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

The KUYUY Accelerograph and SIPA System: Towards Low-Cost, Real-Time Intelligent Seismic Monitoring in Peru. [PDF]

open access: yesSensors (Basel)
Ortiz C   +7 more
europepmc   +1 more source

Addressing Known Challenges in Solar Flare Forecasting I: Limb‐Flare Prediction With a 4π Full‐Heliosphere Framework

open access: yesSpace 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

Lessons for the Next Global Health Crisis: A Qualitative Systematic Review of Women's Experiences of the Perinatal Period During the COVID‐19 Pandemic in Australia

open access: yesAustralian and New Zealand Journal of Obstetrics and Gynaecology, Volume 66, Issue 1, February 2026.
ABSTRACT Background During the coronavirus disease of 2019 (COVID‐19) pandemic, pregnant women and new mothers in Australia experienced extreme pandemic societal responses but low SARS‐CoV‐2 incidence. This offers one of the few opportunities internationally to learn from the pandemic's indirect effects on maternal health, informing future policy ...
Ashleigh Shipton   +4 more
wiley   +1 more source

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