Results 181 to 190 of about 9,237 (286)

Multilingual learning with parameter co-occurrence clustering [PDF]

open access: yes, 2011
Bane, Max   +3 more
core  

Learning Wave Scattering Properties From Seismograms

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Heterogeneities in the Earth's crust scatter seismic waves at many scales, trapping seismic energy and producing coda waves that encode valuable information on geological structures. In regions such as volcanoes and fault systems, analyzing coda waves is essential for characterizing non‐uniform subsurface heterogeneity, improving ...
Reza Esfahani   +3 more
wiley   +1 more source

Testing Audio Compression Autoencoders for Seismology: Moving Toward Foundation Models

open access: yesJournal 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

A Least Squares Method for Ensemble-based Multi-objective Oil Production Optimization [PDF]

open access: yes, 2018
Christiansen, Lasse Hjuler   +2 more
core   +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

Legacy effects under an emerging novel disturbance regime: A memory‐based framework to quantify tree growth responses

open access: yesJournal of Ecology, Volume 114, Issue 2, February 2026.
Moderate‐severity disturbances often leave legacy effects on surviving trees. We conceptualized the legacy effect as a shift in ecological memory (quantified by sensitivity, length, and temporal pattern) and quantified the legacy effect of drought and intentional fire on tree growth.
Yihong Zhu   +3 more
wiley   +1 more source

Automatic detection and annotation of eastern Caribbean sperm whale codas. [PDF]

open access: yesSci Rep
Gubnitsky G   +4 more
europepmc   +1 more source

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