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Adopting effective hierarchal IoMTs computing with K-efficient clustering to control and forecast COVID-19 cases.

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第一作者： Hamza Mohammed Ridha,Al-Khafaji

第一单位： Biomedical Engineering Department, Al-Mustaqbal University College, Hillah, Babil 51001, Iraq.

作者： Hamza Mohammed Ridha,Al-Khafaji ^[1] ; Refed Adnan,Jaleel ^[2]

作者单位： Biomedical Engineering Department, Al-Mustaqbal University College, Hillah, Babil 51001, Iraq. ^[1] Information and Communication Engineering Department, Al-Nahrain University, Baghdad, Iraq. ^[2]

关键词 Analysis Cloud computing Coronavirus Fog computing IoMTs K-Means K-Medoids Predicting

DOI 10.1016/j.compeleceng.2022.108472

PMID 36408485

发布时间 2024-09-09

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Computers & electrical engineering

2022年104卷

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Computers & electrical engineering

2022年104卷

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Adopting effective hierarchal IoMTs computing with K-efficient clustering to control and forecast COVID-19 cases.

Computers & electrical engineering

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Adopting effective hierarchal IoMTs computing with K-efficient clustering to control and forecast COVID-19 cases.

Computers & electrical engineering

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Computers & electrical engineering

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