@article{FerreinDyllaLakemeyer2002,
  author    = {Ferrein, Alexander and Dylla, Frank and Lakemeyer, Gerhard},
  title     = {Acting and Deliberating using Golog in Robotic Soccer - A Hybrid Architecture / Dylla, Frank ; Ferrein, Alexander ; Lakemeyer, Gerhard},
  series = {Proc. 3rd International Cognitive Robotics Workshop (CogRob 2002)},
  journal   = {Proc. 3rd International Cognitive Robotics Workshop (CogRob 2002)},
  pages     = {1 -- 7},
  year      = {2002},
  language  = {en}
}
@article{HartungNiebertSchiederetal.2006,
  author    = {Hartung, Frank and Niebert, Norbert and Schieder, Andreas and Rembarz, Ren{\´e}},
  title     = {Advances in network-supported media delivery in next-generation mobile systems / Hartung, Frank ; Niebert, Norbert ; Schieder, Andreas ; Rembarz, Ren{\´e} ; Schmid, Stefan ; Eggert, Lars},
  series = {IEEE Communications Magazine. 44 (2006), H. 8},
  journal   = {IEEE Communications Magazine. 44 (2006), H. 8},
  isbn      = {0163-6804},
  pages     = {82 -- 89},
  year      = {2006},
  language  = {en}
}
@inproceedings{DyllaFerreinLakemeyer2003,
  author    = {Dylla, Frank and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {AllemaniACs 2003 team description},
  series = {RoboCup 2003 : Robot Soccer World Cup VII},
  booktitle = {RoboCup 2003 : Robot Soccer World Cup VII},
  pages     = {1 -- 3},
  year      = {2003},
  language  = {en}
}
@article{HartungKumwilaisak2004,
  author    = {Hartung, Frank and Kumwilaisak, W.},
  title     = {An intraframe error concealment: nonlinear pattern alignment and directional interpolation / Kumwilaisak, W. ; Hartung, F.},
  series = {Conference on Image Processing, 2004. ICIP '04. 2004 International / Vol. 2 .},
  journal   = {Conference on Image Processing, 2004. ICIP '04. 2004 International / Vol. 2 .},
  pages     = {825 -- 828},
  year      = {2004},
  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}
}
@inproceedings{WolfBartonHerrmannetal.2019,
  author    = {Wolf, Martin 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}
}
@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},
  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{FerreinDyllaLakemeyeretal.2008,
  author    = {Ferrein, Alexander and Dylla, Frank and Lakemeyer, Gerhard and Murray, Jan},
  title     = {Approaching a formal soccer theory from behaviour specifications in robotic soccer / Dylla, Frank ; Ferrein, Alexander ; Lakemeyer, Gerhard ; Murray, Jan ; Obst, Oliver ; R{\"o}fer, Thomas ; Schiffer, Stefan ; Stolzenburg, Frieder ; Visser, Ubbo ; Wagner, Tho},
  series = {Computers in sport / editors: P Dabnichki},
  journal   = {Computers in sport / editors: P Dabnichki},
  publisher = {WIT Press},
  address   = {Southampton},
  isbn      = {978-1-8456-4064-4},
  pages     = {161 -- 185},
  year      = {2008},
  language  = {en}
}
@incollection{SchneiderWisselinkCzarneckietal.2024,
  author    = {Schneider, Dominik and Wisselink, Frank and Czarnecki, Christian and N{\"o}lle, Nikolai},
  title     = {Benefits and framework conditions for information-driven business models concerning the Internet of Things},
  series = {Digitalization in companies},
  booktitle = {Digitalization in companies},
  publisher = {Springer},
  address   = {Wiesbaden},
  isbn      = {978-3-658-39093-8 (Print)},
  doi       = {10.1007/978-3-658-39094-5_5},
  pages     = {59 -- 75},
  year      = {2024},
  abstract  = {In the context of the increasing digitalization, the Internet of Things (IoT) is seen as a technological driver through which completely new business models can emerge in the interaction of different players. Identified key players include traditional industrial companies, municipalities and telecommunications companies. The latter, by providing connectivity, ensure that small devices with tiny batteries can be connected almost anywhere and directly to the Internet. There are already many IoT use cases on the market that provide simplification for end users, such as Philips Hue Tap. In addition to business models based on connectivity, there is great potential for information-driven business models that can support or enhance existing business models. One example is the IoT use case Park and Joy, which uses sensors to connect parking spaces and inform drivers about available parking spaces in real time. Information-driven business models can be based on data generated in IoT use cases. For example, a telecommunications company can add value by deriving more decision-relevant information - called insights - from data that is used to increase decision agility. In addition, insights can be monetized. The monetization of insights can only be sustainable, if careful attention is taken and frameworks are considered. In this chapter, the concept of information-driven business models is explained and illustrated with the concrete use case Park and Joy. In addition, the benefits, risks and framework conditions are discussed.},
  language  = {en}
}
@misc{LindelGreiserWaxmanetal.2012,
  author    = {Lindel, Tomasz Dawid and Greiser, Andreas and Waxman, Patrick and Dietterle, Martin and Seifert, Frank and Fontius, Ulrich and Renz, Wolfgang and Dieringer, Matthias A. and Frauenrath, Tobias and Schulz-Menger, Jeanette and Niendorf, Thoralf and Ittermann, Bernd},
  title     = {Cardiac CINE MRI at 7 T using a transmit array},
  series = {2012 ISMRM Annual Meeting Proceedings},
  journal   = {2012 ISMRM Annual Meeting Proceedings},
  issn      = {1545-4428},
  year      = {2012},
  abstract  = {With its need for high SNR and short acquisition times, Cardiac MRI (CMR) is an intriguing target application for ultrahigh field MRI. Due to the sheer size of the upper torso, however, the known RF issues of 7T MRI are also most prominent in CMR. Recent years brought substantial progress but the full potential of the ultrahigh field for CMR is yet to be exploited. Parallel transmission (pTx) is a promising approach in this context and several groups have already reported B1 shimming for 7T CMR. In such a static pTx application amplitudes and phases of all Tx channels are adjusted individually but otherwise imaging techniques established in current clinical practice 1.5 T and 3 T are applied. More advanced forms of pTx as spatially selective excitation (SSE) using Transmit SENSE promise additional benefits like faster imaging with reduced fields of view or improved SAR control. SSE requires the full dynamic capabilities of pTx, however, and for the majority of today's implemented pTx hardware the internal synchronization of the Tx array does not easily permit external triggering as needed for CMR. Here we report a software solution to this problem and demonstrate the feasibility of CINE CMR at 7 T using a Tx array.},
  language  = {en}
}