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15853 Publications


2019 | Conference Paper | LibreCat-ID: 23763
Akman, Perihan, and Sabine Fechner. “Die Wahrnehmung des Abstraktionsgrades von multiplen Repräsentationen.” Naturwissenschaftliche Bildung als Grundlage für berufliche und gesellschaftliche Teilhabe. Gesellschaft für Didaktik der Chemie und Physik, Jahrestagung in Kiel 2018, edited by Christian Maurer, Universität Regensburg, 2019, pp. 811–14.
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2019 | Journal Article | LibreCat-ID: 20264
Meschut, Gerson, et al. “Fügetechniken für die Herstellung von Hybridbauteilen.” Lightweight Design, 2019, pp. 64–71, doi:10.1007/s35725-019-0026-6.
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2019 | Bachelorsthesis | LibreCat-ID: 10289
Brockmeier, Felix Karl. Feasibility Study on the Use of Hypermedia/HATEOAS Using an Example of a RESTful API from the Financial Services Environment Based on OpenAPI/Swagger. 2019.
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2019 | Mastersthesis | LibreCat-ID: 6627
Selig, Maximilian Julius. The Effects of Driver Variables on Online Review Metrics: A Meta-Analysis. 2019.
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2019 | Bachelorsthesis | LibreCat-ID: 10203
Rohde, Lukas. Sozioökonomische Implikationen des Sharing Economy Trends. 2019.
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2019 | Bachelorsthesis | LibreCat-ID: 14541
Post, Hannes. Haben B2B-Kunden auch Gefühle? Eine semantische Analyse von Online-Kundenbewertungen auf digitalen B2B-Märkten. 2019.
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2019 | Newspaper Article | LibreCat-ID: 23845
Moritzer, Elmar, et al. “Advancing into New Dimensions.” Kunststoffe Internationl, vol. 109, no. 2, 2019, pp. 48–52.
LibreCat | PubMed | Europe PMC
 

2019 | Conference Paper | LibreCat-ID: 24052
Wu, Liang, et al. “A 70 GHz Small-Signal Bandwidth 40 GS/s Track-and-Hold Amplifier in 130 Nm SiGe BiCMOS Technology.” 26th IEEE International Conference on Electronics Circuits and Systems (ICECS), 2019.
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2019 | Conference Paper | LibreCat-ID: 24057
Haddadian, Sanaz, and Christoph Scheytt. “A 5.8 GHz CMOS Analog Front-End Targeting RF Energy Harvesting for Microwave RFIDs with MIMO Reader.” IEEE International Conference on RFID Technology & Application (RFID-TA) , 2019.
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2019 | Conference Paper | LibreCat-ID: 24141
König, Jonas, et al. “Multi-Stage Reinforcement Learning for Object Detection.” Science and Information Conference, 2019, pp. 178–91.
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