Publications

Saied Ramedani, Ebru Kelesoglu, Norman Stutzig, Hendrik Von Tengg‐Kobligk, Keivan Daneshvar Ghorbani, and Tobias Siebert. Quantification of training‐induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females. In Tobias Siebert (Eds.), Physiological Reports, (13)3Wiley, January 2025. [PUMA: imaging deep sports learning medicine body resonance system composition machine musculoskeletal magnetic] URL

Steffen Held, Tobias Siebert, and Lars Donath. Electromyographic activity of the vastus medialis and gastrocnemius implicates a slow stretch-shortening cycle during rowing in the field. In Tobias Siebert (Eds.), Scientific Reports, (10)1:9451, Jun 11, 2020. [PUMA: system Physiology Musculoskeletal] URL

S. Hoher, P. Schindler, S. G?ttlich, V. Schleper, and S. Röck. System Dynamic Models and Real-time Simulation of Complex Material Flow Systems. In Hoda A. ElMaraghy (Eds.), Enabling Manufacturing Competitiveness and Economic Sustainability, 316-321, Springer Berlin Heidelberg, 2012. [PUMA: simulation; Real-time models system; Material dynamic vorlaeufig flow System] URL

G. Copil, D. Moldovan, H. L. Truong, and S. Dustdar. SYBL: An Extensible Language for Controlling Elasticity in Cloud Applications. 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 112-119, May 2013. [PUMA: cloud code system SYBL specification Elasticity API soc2018 application program]

M. Villari, M. Fazio, S. Dustdar, O. Rana, and R. Ranjan. Osmotic Computing: A New Paradigm for Edge/Cloud Integration. IEEE Cloud Computing, (3)6:76-83, November 2016. [PUMA: cloud system transfer computing edge-cloud distributed soc2018 IoT]