Home ›
Entities
› academia
› Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm
Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm
Research article (Journal of the Franklin Institute, 2022) · cited 16× · AI/ML
Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm
Summary
Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm is a scholarly article[1].
Key Facts
Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm'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). Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-measurement-accuracy-of-indoor-positioning-system-of-a-mecanum-wheeled-mobile-robot-using-monte-carlo-latin-hy
MLA“Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-measurement-accuracy-of-indoor-positioning-system-of-a-mecanum-wheeled-mobile-robot-using-monte-carlo-latin-hy.
BibTeX@misc{4ortxyz_improving-measurement-accuracy-of-indoor-positioning-system-of-a-mecanum-wheeled-mobile-robot-using-monte-carlo-latin-hy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/improving-measurement-accuracy-of-indoor-positioning-system-of-a-mecanum-wheeled-mobile-robot-using-monte-carlo-latin-hy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm — https://4ort.xyz/entity/improving-measurement-accuracy-of-indoor-positioning-system-of-a-mecanum-wheeled-mobile-robot-using-monte-carlo-latin-hy (retrieved 2026-05-24)