Hybrid attention-RNN and HMM framework for reliable high-speed arterial vs. urban road classification under degraded GPS conditions
- DOI
- 10.1038/s41598-026-59891-z
- Published
- 2026-07-06
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-59891-z,
title = {Hybrid attention-RNN and HMM framework for reliable high-speed arterial vs. urban road classification under degraded GPS conditions},
author = {V. Allwyn and S. Faizal Mukthar Hussain and R. Karthikeyan and S. Ramamoorthi and V. Balaji and Praveen Kumar Balachandran and Sangeetha Kannan},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-59891-z},
url = {https://doi.org/10.1038/s41598-026-59891-z}
}RIS
TY - JOUR TI - Hybrid attention-RNN and HMM framework for reliable high-speed arterial vs. urban road classification under degraded GPS conditions AU - V. Allwyn AU - S. Faizal Mukthar Hussain AU - R. Karthikeyan AU - S. Ramamoorthi AU - V. Balaji AU - Praveen Kumar Balachandran AU - Sangeetha Kannan PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-59891-z UR - https://doi.org/10.1038/s41598-026-59891-z ER -
APA
Allwyn, V., Hussain, S. F. M., Karthikeyan, R., Ramamoorthi, S., Balaji, V., Balachandran, P. K., & Kannan, S. (2026). Hybrid attention-RNN and HMM framework for reliable high-speed arterial vs. urban road classification under degraded GPS conditions. Scientific Reports. https://doi.org/10.1038/s41598-026-59891-z
Source records
- crossref · retrieved 2026-09-26T06:11:50.567Z