A hybrid statistical-machine learning framework for evaluating geomagnetic storm effects on MisrSat2 satellite power subsystems.

Mostafa MS, Ali MAB, Hesham N, Yassin YM, Ahmed A, Elfiky D

DOI: 10.1038/s41598-025-22604-z
Published: 2025 Oct 29
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-22604-z,
  title = {A hybrid statistical-machine learning framework for evaluating geomagnetic storm effects on MisrSat2 satellite power subsystems.},
  author = {Mostafa MS and Ali MAB and Hesham N and Yassin YM and Ahmed A and Elfiky D},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-22604-z},
  url = {https://doi.org/10.1038/s41598-025-22604-z}
}

RIS

TY  - JOUR
TI  - A hybrid statistical-machine learning framework for evaluating geomagnetic storm effects on MisrSat2 satellite power subsystems.
AU  - Mostafa MS
AU  - Ali MAB
AU  - Hesham N
AU  - Yassin YM
AU  - Ahmed A
AU  - Elfiky D
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-22604-z
UR  - https://doi.org/10.1038/s41598-025-22604-z
ER  -

APA

MS, M., MAB, A., N, H., YM, Y., A, A., & D, E. (2025). A hybrid statistical-machine learning framework for evaluating geomagnetic storm effects on MisrSat2 satellite power subsystems.. Scientific reports. https://doi.org/10.1038/s41598-025-22604-z

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pubmed · retrieved 2026-09-26T15:44:06.784Z