Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.
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Updated
Apr 23, 2024 - Jupyter Notebook
Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.
End‑to‑end ML pipeline that produces the first global map of land‑subsidence rates, built from 46k+ labeled points with 23 predictors, estimating >6.3 M km² affected, including 231k km² of urban/dense settlements and ~2 billion people.
Lösung zur Grundwasserüberwachung mittels Ameisenkolonieoptimierung (Solution for groundwater monitoring using ant colony optimization)
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