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Titlebook: Emerging Technologies in Computing; 4th EAI/IAER Interna Mahdi H. Miraz,Garfield Southall,Safeeullah Soomro Conference proceedings 2021 ICS

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發(fā)表于 2025-3-23 11:49:53 | 只看該作者
Michela Balconi,Davide Crivellis are in general very harmful. However, in some specific situations, stress can be highly serious to the human health as it impacts the cardiovascular system in addition to other body sub systems. Timely Detection of stress through physiological sensors may help in arresting the disease. As the stre
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發(fā)表于 2025-3-23 14:41:12 | 只看該作者
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發(fā)表于 2025-3-23 20:56:43 | 只看該作者
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發(fā)表于 2025-3-24 02:00:54 | 只看該作者
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發(fā)表于 2025-3-24 05:55:51 | 只看該作者
Emerging Technologies in Computing978-3-030-90016-8Series ISSN 1867-8211 Series E-ISSN 1867-822X
16#
發(fā)表于 2025-3-24 07:30:07 | 只看該作者
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發(fā)表于 2025-3-24 11:48:40 | 只看該作者
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發(fā)表于 2025-3-24 18:03:17 | 只看該作者
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發(fā)表于 2025-3-24 22:46:03 | 只看該作者
Liver Transplantation and NAFLD/NASH,ch investigates the application of ML algorithms on the growing data from the healthcare industry on the global diabetes epidemic. The performance of ML algorithms to predict diabetes is lacking. This paper provides an analysis of the challenges of machine learning in this field and covers this gap in the research.
20#
發(fā)表于 2025-3-25 02:17:14 | 只看該作者
Predicting Diabetes Using Diabetes Datasets and Machine Learning Algorithms: Comparison and Analysisch investigates the application of ML algorithms on the growing data from the healthcare industry on the global diabetes epidemic. The performance of ML algorithms to predict diabetes is lacking. This paper provides an analysis of the challenges of machine learning in this field and covers this gap in the research.
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