A Machine Learning Approach to Estimating H <scp>I</scp> Deficiency in Galaxies

Filip Janák, Boris Deshev, Roman Nagy, Rhys Taylor

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DOI: 10.1088/1538-3873/ae782c
Published: 2026-06-01
Container: Publications of the Astronomical Society of the Pacific
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1538-3873/ae782c,
  title = {A Machine Learning Approach to Estimating H
                    <scp>I</scp>
                    Deficiency in Galaxies},
  author = {Filip Janák and Boris Deshev and Roman Nagy and Rhys Taylor},
  year = {2026},
  journal = {Publications of the Astronomical Society of the Pacific},
  doi = {10.1088/1538-3873/ae782c},
  url = {https://doi.org/10.1088/1538-3873/ae782c}
}

RIS

TY  - JOUR
TI  - A Machine Learning Approach to Estimating H
                    <scp>I</scp>
                    Deficiency in Galaxies
AU  - Filip Janák
AU  - Boris Deshev
AU  - Roman Nagy
AU  - Rhys Taylor
PY  - 2026
JO  - Publications of the Astronomical Society of the Pacific
DO  - 10.1088/1538-3873/ae782c
UR  - https://doi.org/10.1088/1538-3873/ae782c
ER  -

APA

Janák, F., Deshev, B., Nagy, R., & Taylor, R. (2026). A Machine Learning Approach to Estimating H <scp>I</scp> Deficiency in Galaxies. Publications of the Astronomical Society of the Pacific. https://doi.org/10.1088/1538-3873/ae782c

Source records

crossref · retrieved 2026-09-25T10:29:36.438Z