首页|Researcher’s Work from Universidad Carlos III de Madrid Focuses on Machine Learn ing (Improving Indoor WiFi Localization by Using Machine Learning Techniques)

Researcher’s Work from Universidad Carlos III de Madrid Focuses on Machine Learn ing (Improving Indoor WiFi Localization by Using Machine Learning Techniques)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Mad rid, Spain, by NewsRx correspondents, research stated, “Accurate and robust posi tioning has become increasingly essential for emerging applications and services .” The news journalists obtained a quote from the research from Universidad Carlos III de Madrid: “While GPS (global positioning system) is widely used for outdoor environments, indoor positioning remains a challenging task. This paper present s a novel architecture for indoor positioning, leveraging machine learning techn iques and a divide-and-conquer strategy to achieve low error estimates. The prop osed method achieves an MAE (mean absolute error) of approximately 1 m for latit ude and longitude.”

Universidad Carlos III de MadridMadridSpainEuropeCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.15)