Hagai Michaelis

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We present our experience of using machine learning techniques over data originating from advanced meter infrastructure (AMI) systems for water consumption in a medium-size city. We focus on two new use cases that are of special importance to city authorities. One use case is the automatic identification of malfunctioning meters, with a focus on(More)
The Mobile Payload Element (MPE) is designed to be a small, autonomous and innovative rover of ~15kg for planetary exploration. Its novel capability is to acquire clearly documented samples from surface as well as subsurface locations, and to bring them back to its lander for further analyses. Although the ESA Lunar Lander served as reference scenario for(More)
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