Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction
The advancement of the Internet of Medical Things (IoMT) has revolutionized data acquisition and processing in critical care settings. Given the pivotal role of ventilators, accurately predicting ...
The growth of the Internet of Things (IoT) has intensified the need for efficient service placement in edge computing environments. This problem remains challenging due to dynamic workloads and ...
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