Introducing a method for modeling knowledge bases in expert systems using the example of large software development projects. - In: International Journal of Advanced Computer Science and Applications, ISSN 2156-5570, Bd. 6.2015, 12, Paper 1, S. 1-7
Goal of this paper is to develop a meta-model, which provides the basis for developing highly scalable artificial intelligence systems that should be able to make autonomously decisions based on different dynamic and specific influences. An artificial neural network builds the entry point for developing a multi-layered human readable model that serves as knowledge base and can be used for further investigations in deductive and inductive reasoning. A graph-theoretical consideration gives a detailed view into the model structure. In addition to it the model is introduced using the example of large software development projects. The integration of Constraints and Deductive Reasoning Element Pruning are illustrated, which are required for executing deductive reasoning efficiently.
A simple method for identifying parameter correlations in partially observed linear dynamic models. - In: BMC systems biology, ISSN 1752-0509, Bd. 9.2015, 92 (14. Dez.), insges. 14 S.
Modeling knowledge bases for automated decision making systems - a literature review. - In: International Journal of Advanced Computer Science and Applications, ISSN 2156-5570, Bd. 6 (2015), 9, S. 185-189
Systematization of integrated motion control of ground vehicles. - In: IEEE access, ISSN 2169-3536, Bd. 3 (2015), S. 2080-2099
Kategorisierung der von der Europäischen Union aufgelisteten terroristischen Gruppen gemäß ihrer Motive :
Categorizing terrorist entities listed by the European Union, according to terrorist groups' underlying motives. - In: Conflict & communication online, ISSN 1618-0747, Bd. 14 (2015), 2, S. 1-14
States and international organizations have compiled lists of a great variety of terrorist groups. The current European Union list includes 44 entities. This study analyzes the underlying motives of the terrorist organizations named in this list. In order to understand the groups' motivations and consequently be able to advise on methods of countering them with communication strategies, we employ a three-item typology provided by Waldmann (2001). The results show that only five of the 44 groups were religiously motivated to commit terrorism. Most of the groups (n=20) had nationalist-separatist motives, and 19 groups displayed social-revolutionary motives. Based on the respective motives, differing counter-terrorism strategies are proposed, e.g., developing rhetorical counter-narratives that address and reduce the groups' motivational and identity-generating characteristics.
Alternatives selection using GORE based on fuzzy numbers and TOPSIS. - In: Journal of software engineering and applications, ISSN 1945-3124, Bd. 8 (2015), 7, S. 346-359
Fuzzy based evaluation of software quality using quality models and goal models. - In: International Journal of Advanced Computer Science and Applications, ISSN 2156-5570, Bd. 6 (2015), 9, S. 265-273
FLIMX: a software package to determine and analyze the fluorescence lifetime in time-resolved fluorescence data from the human eye. - In: PLOS ONE, ISSN 1932-6203, Bd. 10 (2015), 7, e0131640, insges. 28 S.
Integration of remote and virtual laboratories in the educational process. - In: International journal of online engineering, ISSN 1861-2121, Bd. 11 (2015), 3, S. 62-67
This article is an extended and modified version of a paper presented at the International Conference on Remote Engineering & Virtual Instrumentation (REV2015), held in Bangkok, Thailand, 25 - 28 February 2015.
Literature survey on recent progress in inter-vehicle communication simulations. - In: Journal of Transportation Technologies, ISSN 2160-0481, Bd. 5 (2015), 3, S. 159-168