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UID:10003432-1684245600-1684251000@event.dlr.de
SUMMARY:{:de}Maschinelles Lernen für Space Gardening{:}{:en}Machine learning for Space Gardening{:}
DESCRIPTION:Working in the EDEN NEXT GEN and EDEN LUNA projects\, we are concerned with detecting unhealthiness within different kinds of data.In this talk\, I will introduce different classic and deep-learning-based methods for finding anomalies in time series data and present our latest results on the differences regarding the types of anomalies these methods can find. Based on this\, I will present our concept for using these techniques to detect unhealthy system states in telemetry data as well as unhealthy plants in images. \nWeb-dial-in: https://confpool.vc.dlr.de/webapp/#/?conference=1907650545@vc.dlr.de \n \n 
URL:https://event.dlr.de/en/event/maschinelles-lernen-fuer-space-gardening/
LOCATION:Institut für Raumfahrtsysteme\, Robert Hooke Str. 7\, Bremen\, 28359\, Deutschland
CATEGORIES:Vortrag,Webinar
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