High-frequency (0.5–10 Hz) ambient-noise surface-wave tomography for dense nodal arrays: raw records of any layout and format → phase-velocity dispersion → 3-D Vs (areal and line arrays)
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Updated
Nov 8, 2026 - Python
High-frequency (0.5–10 Hz) ambient-noise surface-wave tomography for dense nodal arrays: raw records of any layout and format → phase-velocity dispersion → 3-D Vs (areal and line arrays)
Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.
A repository that contains examples for the illustration of dense,spare arrays and gaurdclause in Javascript
Aircraft Doppler and seismic event analysis for dense nodal arrays.
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