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two categories in preliminary and nine categories in rematch. The detailed ECG categories are listed in subsequent section. Our team proposes a deep residual network for diagnosing cardiovascular diseases automatically based on ECG, making full use of the network’s hierarchical feature learning and

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eatment of the illness, educational practices, decision making, and the development of commercial applications. Using Machine Learning (ML) models, we have been trying to determine the emotion accurately and precisely from the facial expressions. But it requires a colossal number of resources in ter

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ion issues. It can provide practical solutions to currently trending challenges in healthcare data to identify problems more effectively and efficiently than earlier approaches. Medical information from hospital databases and public health datasets are used to analyse anomalies via Internet of medic

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IEEE 105:1589–1608, 2017). As such, the performances and reliability of SSDs should be improved to reduce the Total Cost of Ownership of the system hosting the drive. This activity requires a careful evaluation of those figures exposed by the integrated storage medium, namely the 3D NAND Flash memo

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