Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications.

Arasavali N, Kumar MV, Gottapu SR, Kumar OP, Kakade PD, Vincent S, Mane PR, Kumar S

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DOI: 10.1038/s41598-025-91959-0
Published: 2025 Mar 13
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-91959-0,
  title = {Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications.},
  author = {Arasavali N and Kumar MV and Gottapu SR and Kumar OP and Kakade PD and Vincent S and Mane PR and Kumar S},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-91959-0},
  url = {https://doi.org/10.1038/s41598-025-91959-0}
}

RIS

TY  - JOUR
TI  - Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications.
AU  - Arasavali N
AU  - Kumar MV
AU  - Gottapu SR
AU  - Kumar OP
AU  - Kakade PD
AU  - Vincent S
AU  - Mane PR
AU  - Kumar S
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-91959-0
UR  - https://doi.org/10.1038/s41598-025-91959-0
ER  -

APA

N, A., MV, K., SR, G., OP, K., PD, K., S, V., PR, M., & S, K. (2025). Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications.. Scientific reports. https://doi.org/10.1038/s41598-025-91959-0

Source records

pubmed · retrieved 2026-09-25T23:26:23.081Z
europe-pmc · retrieved 2026-09-25T23:26:23.103Z
doaj · retrieved 2026-09-25T23:26:23.108Z