Home ›
Entities
› academia
› Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time
Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time
Research article (Mechanical Systems and Signal Processing, 2020) · cited 70× · AI/ML
Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time
Summary
Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time is a scholarly article[1].
Key Facts
Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time'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). Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time. Retrieved May 24, 2026, from https://4ort.xyz/entity/recurrent-neural-network-based-unscented-kalman-filter-for-estimating-and-compensating-the-random-drift-of-mems-gyroscop
MLA“Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recurrent-neural-network-based-unscented-kalman-filter-for-estimating-and-compensating-the-random-drift-of-mems-gyroscop.
BibTeX@misc{4ortxyz_recurrent-neural-network-based-unscented-kalman-filter-for-estimating-and-compensating-the-random-drift-of-mems-gyroscop_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time}}, year = {2026}, url = {https://4ort.xyz/entity/recurrent-neural-network-based-unscented-kalman-filter-for-estimating-and-compensating-the-random-drift-of-mems-gyroscop}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time — https://4ort.xyz/entity/recurrent-neural-network-based-unscented-kalman-filter-for-estimating-and-compensating-the-random-drift-of-mems-gyroscop (retrieved 2026-05-24)
