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Fritz, Hagen
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1

Comparison of machine learning methods to predict sleep qua..:

, In: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation,
Fritz, Hagen ; Wu, Congyu ; Kinney, Kerry. - p. 222-223 , 2021
Link: https://dl.acm.org/doi/1..
 
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2

Viability of a Dense, Low-Cost Particulate Matter Sensor Ne..:

, In: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation,
Fritz, Hagen ; Lin, Calvin ; Nagy, Zoltan - p. 316-317 , 2020
Link: https://dl.acm.org/doi/1..
 
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3

Ecologically Valid Multimodal Data Collection:

, In: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation,
Fritz, Hagen ; Nagy, Zoltan - p. 326-327 , 2020
Link: https://dl.acm.org/doi/1..
 
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4

Heavy Ion Sensitivity of 16/32-Gbit NAND-Flash and 4-Gbit D..:

, In: 2012 IEEE Radiation Effects Data Workshop,
Grürmann, Kai ; Herrmann, Martin ; Gliem, Fritz... - p. 1-6 , 2012
Link: https://doi.org/10.1109/..
 
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5

Virtuelle Produktionssysteme:

, In: Integrative Produktionstechnik für Hochlohnländer,
Apel, Markus ; Arping, Tim ; Bagcivan, Nazlim... - p. 257-464 , 2011
Link: https://doi.org/10.1007/..
 
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