Home ›
Entities
› academia
› Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF
Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF
Research article (Ocean Engineering, 2023) · cited 27× · AI/ML
Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF
Summary
Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF is a scholarly article[1].
Key Facts
Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-the-reliability-of-shipborne-ins-gnss-integrated-navigation-system-during-abnormal-sampling-periods-using-bi-l
MLA“Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-the-reliability-of-shipborne-ins-gnss-integrated-navigation-system-during-abnormal-sampling-periods-using-bi-l.
BibTeX@misc{4ortxyz_enhancing-the-reliability-of-shipborne-ins-gnss-integrated-navigation-system-during-abnormal-sampling-periods-using-bi-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-the-reliability-of-shipborne-ins-gnss-integrated-navigation-system-during-abnormal-sampling-periods-using-bi-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF — https://4ort.xyz/entity/enhancing-the-reliability-of-shipborne-ins-gnss-integrated-navigation-system-during-abnormal-sampling-periods-using-bi-l (retrieved 2026-05-24)