Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks.

Kaewunruen S, Chen Z, Dhaniswara A, Hamarat Z

DOI: 10.1038/s41598-026-53237-5
Published: 2026 May 21
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-53237-5,
  title = {Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks.},
  author = {Kaewunruen S and Chen Z and Dhaniswara A and Hamarat Z},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-53237-5},
  url = {https://doi.org/10.1038/s41598-026-53237-5}
}

RIS

TY  - JOUR
TI  - Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks.
AU  - Kaewunruen S
AU  - Chen Z
AU  - Dhaniswara A
AU  - Hamarat Z
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-53237-5
UR  - https://doi.org/10.1038/s41598-026-53237-5
ER  -

APA

S, K., Z, C., A, D., & Z, H. (2026). Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks.. Scientific reports. https://doi.org/10.1038/s41598-026-53237-5

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pubmed · retrieved 2026-09-26T04:43:00.012Z