C
Christian Krupitzer
Researcher at University of Hohenheim
Publications - 75
Citations - 1152
Christian Krupitzer is an academic researcher from University of Hohenheim. The author has contributed to research in topics: Computer science & Adaptation (computer science). The author has an hindex of 13, co-authored 59 publications receiving 846 citations. Previous affiliations of Christian Krupitzer include University of Mannheim & University of Würzburg.
Papers
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Journal ArticleDOI
A survey on engineering approaches for self-adaptive systems
Christian Krupitzer,Felix Maximilian Roth,Sebastian VanSyckel,Gregor Schiele,Christian Becker +4 more
TL;DR: A taxonomy of self-adaptation and a survey on engineering SASs are presented and a new perspective on SAS including context adaptation is motivated.
A survey on engineering approaches for self-adaptive systems (extended version)
Christian Krupitzer,Martin Breitbach,Felix Maximilian Roth,Sebastian VanSyckel,Gregor Schiele,Christian Becker +5 more
TL;DR: In this article, a taxonomy of self-adaptation and a survey on engineering SASs are presented, based on which a new perspective on SAS including context adaptation is motivated. But this taxonomy does not consider context adaptation.
Journal ArticleDOI
A Survey on Adaptive Authentication
TL;DR: A structured survey of the existing literature to date is provided and analyze it to identify and discuss current research challenges and future directions to improve adaptive authentication design.
Proceedings ArticleDOI
Hips Do Lie! A Position-Aware Mobile Fall Detection System
Christian Krupitzer,Timo Sztyler,Janick Edinger,Martin Breitbach,Heiner Stuckenschmidt,Christian Becker +5 more
TL;DR: In a comprehensive evaluation, this work shows that the proposed self-adaptive pervasive fall detection approach is not only robust regarding the different dimensions of heterogeneity, but also adapts autonomously to spontaneous changes in the sensor’s position at runtime.
Posted Content
A Survey on Predictive Maintenance for Industry 4.0.
Christian Krupitzer,Tim Wagenhals,Marwin Züfle,Veronika Lesch,Dominik Schafer,Amin Mozaffarin,Janick Edinger,Christian Becker,Samuel Kounev +8 more
TL;DR: Based on a structured literate survey, a classification of predictive maintenance in the context of Industry 4.0 is presented and recent developments in this area are discussed.