Frank Hoeppner

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This paper sketches an approach to learn interdependencies between multiple time series. At the beginning the time series are segmented and thereby transformed into sequences of labeled intervals. The labels denote qualitative aspects of the signal in the respective intervals. Then, from the sequence of labeled intervals, we discover rules where premise and(More)
Fertilization with biogas residues from the digestion of energy crops is of growing importance. Digestate from silage maize (Zea mays L.) is a new fertilizer with a high potential for ammonia (NH3) and nitrous oxide (N2O) emission. The aim of this study was to determine the effect of different maize fertilization systems [180 kg N ha−1 in form of calcium(More)
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