@article{BartellaKamalScholletal.2019,
  author    = {Bartella, Alexander K. and Kamal, Mohammad and Scholl, Ingrid and Schiffer, Stefan and Steegmann, Julius and Ketelsen, Dominik and H{\"o}lzle, Frank W. and Lethaus, Bernd},
  title     = {Virtual reality in preoperative imaging in maxillofacial surgery: implementation of "the next level"?},
  series = {British Journal of Oral and Maxillofacial Surgery},
  volume    = {57},
  journal   = {British Journal of Oral and Maxillofacial Surgery},
  number    = {7},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0266-4356},
  doi       = {10.1016/j.bjoms.2019.02.014},
  pages     = {644 -- 648},
  year      = {2019},
  language  = {en}
}
@inproceedings{GaldiHartungDugelay2019,
  author    = {Galdi, Chiara and Hartung, Frank and Dugelay, Jean-Luc},
  title     = {Socrates: A database of realistic data for source camera recognition on smartphones},
  series = {Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
  booktitle = {Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
  isbn      = {978-989-758-351-3},
  doi       = {10.5220/0007403706480655},
  pages     = {648 -- 655},
  year      = {2019},
  language  = {en}
}
@inproceedings{WolfBartonHerrmannetal.2019,
  author    = {Wolf, Martin R. and Barton, Thomas and Herrmann, Frank and Meister, Vera G. and M{\"u}ller, Christian and Seel, Christian},
  title     = {Angewandte Forschung in der Wirtschaftsinformatik 2019 : Tagungsband zur 32. AKWI-Jahrestagung vom 15.09.2019 bis 18.09.2019 an der Fachhochschule f{\"u}r Angewandte Wissenschaften Aachen / hrsg. von Martin R. Wolf, Thomas Barton, Frank Herrmann, Vera G. Meister, Christian M{\"u}ller, Christian Seel},
  publisher = {mana-Buch},
  address   = {Heide},
  isbn      = {978-3-944330-62-4},
  doi       = {10.15771/978-3-944330-62-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-13026},
  pages     = {261 Seiten},
  year      = {2019},
  abstract  = {Tagungsbeitr{\"a}ge aus den Bereichen Projektmanagement, Didaktik in der Wirtschaftsinformatik, IT-Sicherheit, Anwendungsf{\"a}lle, Reifegradmodelle, Plattformen f{\"u}r Gesch{\"a}ftsprozesse und Prototypen.},
  language  = {de}
}
@article{SchierenKleinschmidtSchmutzetal.2019,
  author    = {Schieren, Mark and Kleinschmidt, Joris and Schmutz, Axel and Loop, Torsten and Gatzweiler, Karl-Heinz and Staat, Manfred and Wappler, Frank and Defosse, Jerome},
  title     = {Comparison of forces acting on maxillary incisors during tracheal intubation with different laryngoscopy techniques: a blinded manikin study},
  series = {Anaesthesia},
  volume    = {74},
  journal   = {Anaesthesia},
  number    = {12},
  publisher = {Wiley-Blackwell},
  address   = {Oxford},
  isbn      = {1365-2044},
  doi       = {10.1111/anae.14815},
  year      = {2019},
  language  = {en}
}
@inproceedings{NeesStengelMeisteretal.2020,
  author    = {Nees, Franz and Stengel, Ingo and Meister, Vera G. and Barton, Thomas and Herrmann, Frank and M{\"u}ller, Christian and Wolf, Martin R.},
  title     = {Angewandte Forschung in der Wirtschaftsinformatik 2020 : Tagungsband zur 33. AKWI-Jahrestagung am 14.09.2020, ausgerichtet von der Hochschule Karlsruhe - Wirtschaft und Technik / hrsg. von Franz Nees, Ingo Stengel, Vera G. Meister, Thomas Barton, Frank Herrmann, Christian M{\"u}ller, Martin R. Wolf},
  publisher = {mana-Buch},
  address   = {Heide},
  isbn      = {978-3-944330-66-2},
  doi       = {10.15771/978-3-944330-66-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-13840},
  pages     = {147 Seiten},
  year      = {2020},
  abstract  = {Tagungsbeitr{\"a}ge aus den Bereichen KI, Prozessorganisation und Plattformen f{\"u}r Gesch{\"a}ftsprozesse, Sicherheit und Datenschutz sowie Prototypen und Modelle.},
  language  = {de}
}
@article{DachwaldUlamecPostbergetal.2020,
  author    = {Dachwald, Bernd and Ulamec, Stephan and Postberg, Frank and Sohl, Frank and Vera, Jean-Pierre de and Christoph, Waldmann and Lorenz, Ralph D. and Hellard, Hugo and Biele, Jens and Rettberg, Petra},
  title     = {Key technologies and instrumentation for subsurface exploration of ocean worlds},
  series = {Space Science Reviews},
  volume    = {216},
  journal   = {Space Science Reviews},
  number    = {Art. 83},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1572-9672},
  doi       = {10.1007/s11214-020-00707-5},
  pages     = {45},
  year      = {2020},
  abstract  = {In this chapter, the key technologies and the instrumentation required for the subsurface exploration of ocean worlds are discussed. The focus is laid on Jupiter's moon Europa and Saturn's moon Enceladus because they have the highest potential for such missions in the near future. The exploration of their oceans requires landing on the surface, penetrating the thick ice shell with an ice-penetrating probe, and probably diving with an underwater vehicle through dozens of kilometers of water to the ocean floor, to have the chance to find life, if it exists. Technologically, such missions are extremely challenging. The required key technologies include power generation, communications, pressure resistance, radiation hardness, corrosion protection, navigation, miniaturization, autonomy, and sterilization and cleaning. Simpler mission concepts involve impactors and penetrators or - in the case of Enceladus - plume-fly-through missions.},
  language  = {en}
}
@inproceedings{DinghoferHartung2020,
  author    = {Dinghofer, Kai and Hartung, Frank},
  title     = {Analysis of Criteria for the Selection of Machine Learning Frameworks},
  series = {2020 International Conference on Computing, Networking and Communications (ICNC)},
  booktitle = {2020 International Conference on Computing, Networking and Communications (ICNC)},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/ICNC47757.2020.9049650},
  pages     = {373 -- 377},
  year      = {2020},
  abstract  = {With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs.},
  language  = {en}
}
@article{BensbergAuthCzarnecki2020,
  author    = {Bensberg, Frank and Auth, Gunnar and Czarnecki, Christian},
  title     = {Literaturanalyse mit Text Mining},
  series = {E-Learning and Education (eleed)},
  journal   = {E-Learning and Education (eleed)},
  number    = {13},
  editor    = {Haake, J{\"o}rg M.},
  publisher = {FernUniversit{\"a}t in Hagen},
  address   = {Hagen},
  issn      = {1860-7470},
  pages     = {1 -- 13},
  year      = {2020},
  abstract  = {Die Durchf{\"u}hrung einer systematischen Literaturrecherche ist eine zentrale Kompetenz wissenschaftlichen Arbeitens und bildet daher einen festen Ausbildungsbestandteil von Bachelor- und Masterstudieng{\"a}ngen. In entsprechenden Lehrveranstaltungen werden Studierende zwar mit den grundlegenden Hilfsmitteln zur Suche und Verwaltung von Literatur vertraut gemacht, allerdings werden die Potenziale textanalytischer Methoden und Anwendungssysteme (Text Mining, Text Analytics) dabei zumeist nicht abgedeckt. Folglich werden Datenkompetenzen, die zur systemgest{\"u}tzten Analyse und Erschließung von Literaturdaten erforderlich sind, nicht hinreichend ausgepr{\"a}gt. Um diese Kompetenzl{\"u}cke zu adressieren, ist an der Hochschule Osnabr{\"u}ck eine Lehrveranstaltung konzipiert und projektorientiert umgesetzt worden, die sich insbesondere an Studierende wirtschaftswissenschaftlicher Studieng{\"a}nge richtet. Dieser Beitrag dokumentiert die fachliche sowie technische Ausgestaltung dieser Veranstaltung und zeigt Potenziale f{\"u}r die k{\"u}nftige Weiterentwicklung auf.},
  language  = {de}
}
@incollection{SchneiderWisselinkNoelleetal.2020,
  author    = {Schneider, Dominik and Wisselink, Frank and N{\"o}lle, Nikolai and Czarnecki, Christian},
  title     = {Influence of artificial intelligence on commercial interactions in the consumer market},
  series = {Automatisierung und Personalisierung von Dienstleistungen : Methoden - Potenziale - Einsatzfelder},
  booktitle = {Automatisierung und Personalisierung von Dienstleistungen : Methoden - Potenziale - Einsatzfelder},
  editor    = {Bruhn, Manfred and Hadwich, Karsten},
  publisher = {Springer Gabler},
  address   = {Wiesbaden},
  isbn      = {978-3-658-30167-5 (Print)},
  doi       = {10.1007/978-3-658-30168-2_7},
  pages     = {183 -- 205},
  year      = {2020},
  abstract  = {Recently, novel AI-based services have emerged in the consumer market. AI-based services can affect the way consumers take commercial decisions. Research on the influence of AI on commercial interactions is in its infancy. In this chapter, a framework creating a first overview of the influence of AI on commercial interactions is introduced. This framework summarizes the findings of comparing numerous customer journeys of novel AI-based services with corresponding non-AI equivalents.},
  language  = {en}
}
@article{HoevelerBauknechtWolfetal.2020,
  author    = {Hoeveler, B. and Bauknecht, Andr{\´e} and Wolf, C. Christian and Janser, Frank},
  title     = {Wind-Tunnel Study of a Wing-Embedded Lifting Fan Remaining Open in Cruise Flight},
  series = {Journal of Aircraft},
  volume    = {57},
  journal   = {Journal of Aircraft},
  number    = {4},
  publisher = {AIAA},
  address   = {Reston, Va.},
  issn      = {1533-3868},
  doi       = {10.2514/1.C035422},
  year      = {2020},
  abstract  = {It is investigated whether a nonrotating lifting fan remaining uncovered during cruise flight, as opposed to being covered by a shutter system, can be realized with limited additional drag and loss of lift during cruise flight. A wind-tunnel study of a wing-embedded lifting fan has been conducted at the Side Wind Test Facility G{\"o}ttingen of DLR, German Aerospace Center in G{\"o}ttingen using force, pressure, and stereoscopic particle image velocimetry techniques. The study showed that a step on the lower side of the wing in front of the lifting fan duct increases the lift-to-drag ratio of the whole model by up to 25\% for all positive angles of attack. Different sizes and inclinations of the step had limited influence on the surface pressure distribution. The data indicate that these parameters can be optimized to maximize the lift-to-drag ratio. A doubling of the curvature radius of the lifting fan duct inlet lip on the upper side of the wing affected the lift-to-drag ratio by less than 1\%. The lifting fan duct inlet curvature can therefore be optimized to maximize the vertical fan thrust of the rotating lifting fan during hovering without affecting the cruise flight performance with a nonrotating fan.},
  language  = {en}
}