Microorganism identification and environmental cleaning effectiveness in radiology settings: cross-sectional and experimental studies

Introduction: Despite the large number of patients passing through and some invasive procedures, radiology may still be considered unlikely to transmit pathogens.However, radiation protection aprons touched by radiology professionals and shared between patients could be prone to contamination.Our goals were to (1) assess qualitatively and quantitat

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FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

The need for robust unsupervised anomaly detection in streaming data is increasing rapidly in the current era of smart devices, where enormous data are gathered from numerous sensors.These sensors record the internal state of a machine, the external environment, and the interaction of machines with other machines and humans.It is of prime importanc

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