Machine learning and deep learning for ground data deformation analytics: a comprehensive critical review

Francis Quayson, Ishmael Yaw Dadson

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DOI: 10.21203/rs.3.rs-8913300/v2
Published: 2026-07-08
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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-8913300/v2,
  title = {Machine learning and deep learning for ground data deformation analytics: a comprehensive critical review},
  author = {Francis Quayson and Ishmael Yaw Dadson},
  year = {2026},
  doi = {10.21203/rs.3.rs-8913300/v2},
  url = {https://doi.org/10.21203/rs.3.rs-8913300/v2}
}

RIS

TY  - JOUR
TI  - Machine learning and deep learning for ground data deformation analytics: a comprehensive critical review
AU  - Francis Quayson
AU  - Ishmael Yaw Dadson
PY  - 2026
DO  - 10.21203/rs.3.rs-8913300/v2
UR  - https://doi.org/10.21203/rs.3.rs-8913300/v2
ER  -

APA

Quayson, F., & Dadson, I. Y. (2026). Machine learning and deep learning for ground data deformation analytics: a comprehensive critical review. https://doi.org/10.21203/rs.3.rs-8913300/v2

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crossref · retrieved 2026-09-25T14:22:17.918Z