@article{DachwaldWurm2011,
  author    = {Dachwald, Bernd and Wurm, Patrick},
  title     = {Mission analysis and performance comparison for an Advanced Solar Photon Thruster},
  series = {Advances in Space Research},
  volume    = {48},
  journal   = {Advances in Space Research},
  number    = {11},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0273-1177},
  pages     = {1858 -- 1868},
  year      = {2011},
  language  = {en}
}
@incollection{Bung2015,
  author    = {Bung, Daniel Bernhard},
  title     = {Laboratory models of free-surface flows},
  series = {Rivers - physical, fluvial and environmental processes},
  booktitle = {Rivers - physical, fluvial and environmental processes},
  editor    = {Rowinski, Pawel},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-17718-2 ; 978-3-319-17719-9},
  doi       = {10.1007/978-3-319-17719-9_9},
  pages     = {213 -- 228},
  year      = {2015},
  abstract  = {Hydraulic modeling is the classical approach to investigate and describe complex fluid motion. Many empirical formulas in the literature used for the hydraulic design of river training measures and structures have been developed using experimental data from the laboratory. Although computer capacities have increased to a high level which allows to run complex numerical simulations on standard workstation nowadays, non-standard design of structures may still raise the need to perform physical model investigations. These investigations deliver insight into details of flow patterns and the effect of varying boundary conditions. Data from hydraulic model tests may be used for calibration of numerical models as well. As the field of hydraulic modeling is very complex, this chapter intends to give a short overview on capacities and limits of hydraulic modeling in regard to river flows and hydraulic structures only. The reader shall get a first idea of modeling principles and basic considerations. More detailed information can be found in the references.},
  language  = {en}
}
@inproceedings{WuBronderPoghossianetal.2014,
  author    = {Wu, Chunsheng and Bronder, Thomas and Poghossian, Arshak and Sch{\"o}ning, Michael Josef},
  title     = {DNA-hybridization detection using light-addressable potentiometric sensor modified with gold layer},
  series = {Sensoren und Messsysteme 2014 ; Beitr{\"a}ge der 17. GMA/ITG-Fachtagung vom 3. bis 4. Juni 2014 in N{\"u}rnberg. (ITG-Fachbericht ; 250)},
  booktitle = {Sensoren und Messsysteme 2014 ; Beitr{\"a}ge der 17. GMA/ITG-Fachtagung vom 3. bis 4. Juni 2014 in N{\"u}rnberg. (ITG-Fachbericht ; 250)},
  publisher = {VDE-Verl.},
  address   = {D{\"u}sseldorf},
  organization    = {VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik},
  isbn      = {978-3-8007-3622-5},
  pages     = {1 -- 4},
  year      = {2014},
  language  = {en}
}
@inproceedings{HuckPoghossianBuniatyanetal.2014,
  author    = {Huck, Christina and Poghossian, Arshak and Buniatyan, V. and Sch{\"o}ning, Michael Josef},
  title     = {Multi-parameter detection for supporting monitoring and control of biogas processes in agriculture},
  series = {Sensoren und Messsysteme 2014 ; Beitr{\"a}ge der 17. GMA/ITG-Fachtagung vom 3. bis 4. Juni 2014 in N{\"u}rnberg. (ITG-Fachbericht ; 250)},
  booktitle = {Sensoren und Messsysteme 2014 ; Beitr{\"a}ge der 17. GMA/ITG-Fachtagung vom 3. bis 4. Juni 2014 in N{\"u}rnberg. (ITG-Fachbericht ; 250)},
  publisher = {VDE-Verl.},
  address   = {Berlin},
  organization    = {VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik},
  isbn      = {978-3-8007-3622-5},
  pages     = {1 -- 5},
  year      = {2014},
  language  = {en}
}
@inproceedings{ValeroBung2015,
  author    = {Valero, Daniel and Bung, Daniel Bernhard},
  title     = {Hybrid investigation of air transport processes in moderately sloped stepped spillway flows},
  series = {E-proceedings of the 36th IAHR World Congress 28 June - 3 July, 2015, The Hague, the Netherlands},
  booktitle = {E-proceedings of the 36th IAHR World Congress 28 June - 3 July, 2015, The Hague, the Netherlands},
  organization    = {IAHR World Congress <36, 2015, Den Haag>},
  pages     = {1 -- 10},
  year      = {2015},
  language  = {en}
}
@incollection{SchoeningPoghossianGluecketal.2014,
  author    = {Sch{\"o}ning, Michael Josef and Poghossian, Arshak and Gl{\"u}ck, Olaf and Thust, Marion},
  title     = {Electrochemical methods for the determination of chemical variables in aqueous media},
  series = {Measurement, instrumentation, and sensors handbook / ed. by John G. Webster [u.a.] Vol. 2 : Electromagnetic, optical, radiation, chemical, and biomedical measurement},
  booktitle = {Measurement, instrumentation, and sensors handbook / ed. by John G. Webster [u.a.] Vol. 2 : Electromagnetic, optical, radiation, chemical, and biomedical measurement},
  publisher = {CRC Pr.},
  address   = {Boca Raton, Fla.},
  isbn      = {978-1-4398-4891-3},
  pages     = {55-1 -- 55-54},
  year      = {2014},
  language  = {en}
}
@article{PancContiuBocanetetal.2019,
  author    = {Panc, Nicolae and Contiu, Glad and Bocanet, Vlad and Thurn, Laura and Sabau, Emilia},
  title     = {The influence of cutting technology on surface wear hardness},
  series = {Academic Journal of Manufacturing Engineering},
  volume    = {17},
  journal   = {Academic Journal of Manufacturing Engineering},
  number    = {3},
  issn      = {1583-7904},
  pages     = {205 -- 210},
  year      = {2019},
  language  = {en}
}
@incollection{ChansonBungMatos2015,
  author    = {Chanson, Hubert and Bung, Daniel Bernhard and Matos, J.},
  title     = {Stepped spillways and cascades},
  series = {Energy dissipation in hydraulic structures / Hubert Chanson (ed.)},
  booktitle = {Energy dissipation in hydraulic structures / Hubert Chanson (ed.)},
  publisher = {CRC Press},
  address   = {Boca Raton, Fla. [u.a.]},
  isbn      = {978-1-138-02755-8 (print) ; 978-1-315-68029-3 (e-Book)},
  pages     = {45 -- 64},
  year      = {2015},
  language  = {en}
}
@article{SchifferFerrein2018,
  author    = {Schiffer, Stefan and Ferrein, Alexander},
  title     = {ERIKA—Early Robotics Introduction at Kindergarten Age},
  series = {Multimodal Technologies Interact},
  volume    = {2},
  journal   = {Multimodal Technologies Interact},
  number    = {4},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2414-4088},
  doi       = {10.3390/mti2040064},
  pages     = {15},
  year      = {2018},
  abstract  = {In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human-robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents.},
  language  = {en}
}
@article{SchwabedalSippelBrandtetal.2018,
  author    = {Schwabedal, Justus T. C. and Sippel, Daniel and Brandt, Moritz D. and Bialonski, Stephan},
  title     = {Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning},
  doi       = {10.48550/arXiv.1809.08443},
  year      = {2018},
  abstract  = {Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle.},
  language  = {en}
}