Robotics & Machine Learning Daily News2024,Issue(Feb.22) :20-21.DOI:10.1109/ACCESS.2024.3358827

Data from Universitas Muhammadiyah Yogyakarta Advance Knowl- edge in Artificial Intelligence (A Review on the Application of In- ternet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach)

Robotics & Machine Learning Daily News2024,Issue(Feb.22) :20-21.DOI:10.1109/ACCESS.2024.3358827

Data from Universitas Muhammadiyah Yogyakarta Advance Knowl- edge in Artificial Intelligence (A Review on the Application of In- ternet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach)

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Abstract

Investigators publish new report on artificial intelligence. According to news reporting out of the Universitas Muhammadiyah Yogyakarta by NewsRx editors, research stated, "The advent of the fifth-generation mobile communication technology (5G) era has catalyzed significant advancements in medical diagnosis delivery, primarily driven by the surge in medical data from wearable Internet of Medical Things (IoMT) devices." Funders for this research include Universitas Muhammadiyah Yogyakarta, Indonesia Through The Cen- ter of Artificial Intelligence And Robotic Studies, The Research And Innovation Centre; Cooperation And International Affairs; Ministry of Education, Culture, Research, And Technology, Indonesia; Chelpis Quan- tum Tech Co., Ltd.; Asia University, Taiwan, And China Medical University Hospital, China Medical University, Taiwan.

Key words

Universitas Muhammadiyah Yogyakarta/Artificial Intelligence/Cybersecurity/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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