NeurDE learns the equilibrium closure within a kinetic solver to outperform larger neural models on long-term predictions of nonlinear conservation laws including shocks.
Wavecastnet: An AI- enabled wavefield forecasting framework for earthquake early warning,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
A Transformer model classifies earthquake magnitudes from 7-second single-station P-wave signals with 76.23% accuracy on a new dataset of 7318 South Asian events.
citing papers explorer
-
Neural equilibria for long-term prediction of nonlinear conservation laws
NeurDE learns the equilibrium closure within a kinetic solver to outperform larger neural models on long-term predictions of nonlinear conservation laws including shocks.
-
Real-Time Earthquake Magnitude Classification from Initial P-Waves: Models, Dataset, and Comparative Analysis for South Asia
A Transformer model classifies earthquake magnitudes from 7-second single-station P-wave signals with 76.23% accuracy on a new dataset of 7318 South Asian events.