Results 181 to 190 of about 5,170 (214)

A Constrained‐Regression Machine Learning Model for Predicting Future Natural Land‐Cover Composition From Climate Projections

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Predicting future vegetation patterns from climate change projections is central to assessing ecological impacts, but most existing climate–vegetation models predict coarse biome classes rather than fine‐grained land cover. Here we develop a constrained regression approach that predicts local land cover composition (LLCC)—the fractional cover ...
T. F. Stepinski
wiley   +1 more source

IGyTheM: Integrating Geodynamics With Thermodynamics Using Machine Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Achieving a comprehensive understanding of mantle convection requires integrated models that couple mantle dynamics with thermodynamic properties. Although advances in computational geodynamics have substantially improved our ability to simulate the underlying physical processes, incorporating thermodynamics into self‐consistent geodynamic ...
Qian Yuan   +4 more
wiley   +1 more source

Adapting a Pretrained LLM to Rapidly Recover Earthquake Magnitude and Location

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Determining earthquake magnitude and location through fast, automated methods is fundamental for seismic monitoring. Recent studies have shown that Large Language Models (LLMs) can operate as pattern‐recognition systems capable of handling novel domains and purely numerical tasks.
Aurora Bassani   +6 more
wiley   +1 more source

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