Sakarya University of Applied Sciences Reports Findings in Machine Learning (Met a-heuristic optimization algorithms based feature selection for joint moment pre diction of sit-to-stand movement using machine learning algorithms)

Robotics & Machine Learning Daily News2024，Issue(Jul.17) ：91-91.

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Sakarya University of Applied Sciences Reports Findings in Machine Learning (Met a-heuristic optimization algorithms based feature selection for joint moment pre diction of sit-to-stand movement using machine learning algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating in Sakarya, Turkey, by NewsR x journalists, research stated, “The sit-to-stand (STS) movementis fundamental in daily activities, involving coordinated motion of the lower extremities and t runk, whichleads to the generation of joint moments based on joint angles and l imb properties. Traditional methods fordetermining joint moments often involve sensors or complex mathematical approaches, posing limitationsin terms of movem ent restrictions or expertise requirements.”

Key words

Sakarya/Turkey/Eurasia/Algorithms/Cy borgs/Emerging Technologies/Machine Learning/Optimization Algorithms

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出版年

2024

Robotics & Machine Learning Daily News

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