Artificial Intelligence-Driven Spline Smoothing: A Comprehensive Case-Study-Based Review of Methodological Developments, Adaptive Knot Selection, Theoretical Properties, and Real-World Applications

STHITADHI DAS

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DOI: 10.21203/rs.3.rs-11442770/v1
Published: 2026-10-22
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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-11442770/v1,
  title = {Artificial Intelligence-Driven Spline Smoothing: A Comprehensive Case-Study-Based Review of Methodological Developments, Adaptive Knot Selection, Theoretical Properties, and Real-World Applications},
  author = {STHITADHI DAS},
  year = {2026},
  doi = {10.21203/rs.3.rs-11442770/v1},
  url = {https://doi.org/10.21203/rs.3.rs-11442770/v1}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence-Driven Spline Smoothing: A Comprehensive Case-Study-Based Review of Methodological Developments, Adaptive Knot Selection, Theoretical Properties, and Real-World Applications
AU  - STHITADHI DAS
PY  - 2026
DO  - 10.21203/rs.3.rs-11442770/v1
UR  - https://doi.org/10.21203/rs.3.rs-11442770/v1
ER  -

APA

DAS, S. (2026). Artificial Intelligence-Driven Spline Smoothing: A Comprehensive Case-Study-Based Review of Methodological Developments, Adaptive Knot Selection, Theoretical Properties, and Real-World Applications. https://doi.org/10.21203/rs.3.rs-11442770/v1

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crossref · retrieved 2026-11-10T14:29:07.753Z