Machine Learning Classification of Global Seismic Phases: A Cross-Validated, Physics-Informed Evaluation Using the IMS2.0 Automatic Arrival Bulletin

Aaron K. Waswa¹, Avery Inyangala¹

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DOI: 10.21203/rs.3.rs-11036828/v1
Published: 2026-10-08
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-11036828/v1,
  title = {Machine Learning Classification of Global Seismic Phases: A Cross-Validated, Physics-Informed Evaluation Using the IMS2.0 Automatic Arrival Bulletin},
  author = {Aaron K. Waswa¹ and Avery Inyangala¹},
  year = {2026},
  doi = {10.21203/rs.3.rs-11036828/v1},
  url = {https://doi.org/10.21203/rs.3.rs-11036828/v1}
}

RIS

TY  - JOUR
TI  - Machine Learning Classification of Global Seismic Phases: A Cross-Validated, Physics-Informed Evaluation Using the IMS2.0 Automatic Arrival Bulletin
AU  - Aaron K. Waswa¹
AU  - Avery Inyangala¹
PY  - 2026
DO  - 10.21203/rs.3.rs-11036828/v1
UR  - https://doi.org/10.21203/rs.3.rs-11036828/v1
ER  -

APA

Waswa¹, A. K., & Inyangala¹, A. (2026). Machine Learning Classification of Global Seismic Phases: A Cross-Validated, Physics-Informed Evaluation Using the IMS2.0 Automatic Arrival Bulletin. https://doi.org/10.21203/rs.3.rs-11036828/v1

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crossref · retrieved 2026-11-04T11:49:22.177Z