Robotics & Machine Learning Daily News2024,Issue(Apr.15) :17-17.

University of Toronto Reports Findings in Machine Learning (Exploration and demo nstration of explainable machine learning models in prosthetic rehabilitation-ba sed gait analysis)

Robotics & Machine Learning Daily News2024,Issue(Apr.15) :17-17.

University of Toronto Reports Findings in Machine Learning (Exploration and demo nstration of explainable machine learning models in prosthetic rehabilitation-ba sed gait analysis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Toronto, Canad a, by NewsRx journalists, research stated, “Quantitative gait analysisis import ant for understanding the non-typical walking patterns associated with mobility impairments.Conventional linear statistical methods and machine learning (ML) m odels are commonly used to assessgait performance and related changes in the ga it parameters.”

Key words

Toronto/Canada/North and Central Ameri ca/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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