A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection.
- DOI
- 10.1371/journal.pone.0350221
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0350221,
title = {A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection.},
author = {Rui Y and Zhaofeng L and Xunyun L and Zehuai L},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0350221},
url = {https://doi.org/10.1371/journal.pone.0350221}
}RIS
TY - JOUR TI - A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection. AU - Rui Y AU - Zhaofeng L AU - Xunyun L AU - Zehuai L PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0350221 UR - https://doi.org/10.1371/journal.pone.0350221 ER -
APA
Y, R., L, Z., L, X., & L, Z. (2026). A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection.. PloS one. https://doi.org/10.1371/journal.pone.0350221
Source records
- pubmed · retrieved 2026-09-25T13:08:46.521Z