Robotics & Machine Learning Daily News2024,Issue(Nov.15) :63-64.

Department of Industrial Engineering Researcher Describes Advances in Machine Le arning (Automated Indoor Activity Monitoring For Elderly And Visually Impaired P eople Using Quantum Salp Swarm Algorithm With Machine Learning)

工业工程系研究员描述了机器学习(使用量子Salp群算法和机器学习对老年人和视障患者进行自动室内活动监测)的进展

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :63-64.

Department of Industrial Engineering Researcher Describes Advances in Machine Le arning (Automated Indoor Activity Monitoring For Elderly And Visually Impaired P eople Using Quantum Salp Swarm Algorithm With Machine Learning)

工业工程系研究员描述了机器学习(使用量子Salp群算法和机器学习对老年人和视障患者进行自动室内活动监测)的进展

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-关于人工智能的研究结果将在一份新报告中讨论。根据消息来源来自NewsRx编辑的工业工程系的这项研究指出:“老年人和室内活动监测采用传感器技术监测互动和运动在生活区。该系统可以识别偏离常规模式的情况,提供警报,并确保发生紧急情况或潜在风险时的安全。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on artificial intelligence are discussed in a new report. According to news originatingfrom the Department of Industrial Engineering by NewsRx editors, the research stated, “Elderly andvisi on-impaired indoor activity monitoring uses sensor technology to monitor interac tion and movementin the living area. This system can identify deviations from r egular patterns, provide alerts, and ensuresafety in case of emergencies or pot ential risks.”

Key words

Department of Industrial Engineering/Al gorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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