dense-array

High-frequency ambient-noise surface-wave tomography for dense nodal arrays (areal and line): raw records of any layout and format → phase-velocity dispersion → 3-D Vs with DSurfTomo.

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.