VARIATIONAL AUTOENCODER TO IDENTIFY ANOMALOUS DATA IN ROBOTS

Variational AutoEncoder to Identify Anomalous Data in Robots

For robotic systems involved in challenging environments, it is crucial to be able to identify faults as early as possible.In challenging ventilationstejp environments, it is not always possible to explore all of the fault space, thus anomalous data can act as a broader surrogate, where an anomaly may represent a fault or a predecessor to a fault.T

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Protection against ischemia-reperfusion injury in prolonged resuscitation: A case report and review of literature

BACKGROUND: The severity of ischemia/reperfusion injury determines the neurologic outcome after successful cardiopulmonary resuscitation.CASE REPORT: We present a case of prolonged open-chest resuscitation who survived without neurologic sequel.Multiple applied strategies to limit the deleterious effects of ischemia and reperfusion injury, that is,

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