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10720 Publications
2021 | Journal Article | LibreCat-ID: 45343
Schönherr, Johanna, et al. “The Role of Strategy-Based Motivation in Mathematical Problem Solving: The Case of Learner-Generated Drawings.” Learning and Instruction, vol. 80, 101561, 2021, doi:10.1016/j.learninstruc.2021.101561.
LibreCat
| DOI
2021 | Mastersthesis | LibreCat-ID: 45788
Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.
LibreCat
2021 | Mastersthesis | LibreCat-ID: 45787
Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models. 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 30909
Clausing, Lennart. “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip.” Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021, doi:10.1145/3468044.3468056.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 34673
Black, Tobias, et al. “Relaxed Parameter Conditions for Chemotactic Collapse in Logistic-Type Parabolic–Elliptic Keller–Segel Systems.” Zeitschrift Für Angewandte Mathematik Und Physik, vol. 72, no. 3, 96, Springer Science and Business Media LLC, 2021, doi:10.1007/s00033-021-01524-8.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 34675
Black, Tobias, and Chunyan Wu. “Prescribed Signal Concentration on the Boundary: Weak Solvability in a Chemotaxis-Stokes System with Proliferation.” Zeitschrift Für Angewandte Mathematik Und Physik, vol. 72, no. 4, 135, Springer Science and Business Media LLC, 2021, doi:10.1007/s00033-021-01565-z.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46195
Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29219
Misra, Arijit, et al. “Reconfigurable and Real-Time Nyquist OTDM Demultiplexing in Silicon Photonics.” Electrical Engineering and Systems Science, 2021, doi:https://doi.org/10.1364/OE.454163.
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| Files available
| DOI
2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi, Hassan, et al. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021, doi:https://doi.org/10.1007/978-3-030-93736-2_27.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 21232
Itner, Dominik, et al. “Efficient Semi-Analytical Simulation of Elastic Guided Waves in Cylinders Subject to Arbitrary Non-Symmetric Loads.” Ultrasonics, 106389, 2021, doi:10.1016/j.ultras.2021.106389.
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad, Samer, et al. “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.” Euro-Par 2020: Parallel Processing Workshops, 2021, doi:10.1007/978-3-030-71593-9_15.
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| Files available
| DOI
2021 | Book Chapter | LibreCat-ID: 29936
Ramaswami, Arjun, et al. “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.” Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2021, doi:10.1007/978-3-030-79025-7_21.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 24788 | 
Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.” Concurrency and Computation: Practice and Experience, 2021, p. e6616, doi:10.1002/cpe.6616.
LibreCat
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| DOI
2021 | Conference Paper | LibreCat-ID: 29706
Höper, Lukas, and Carsten Schulte. “Datenbewusstsein Im Kontext Digitaler Kompetenzen Für Einen Selbstbestimmten Umgang Mit Datengetriebenen Digitalen Artefakten.” 51. Jahrestagung Der Gesellschaft Für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021, edited by Gesellschaft für Informatik e.V., Gesellschaft für Informatik, 2021, pp. 1623–32, doi:10.18420/informatik2021-136.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 27491
Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, 2021, doi:10.1145/3488042.3490509.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 25520
Höper, Lukas, et al. “Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz.” 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 345, doi:10.18420/infos2021\_a230.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 25523
Podworny, Susanne, et al. “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein.” 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by Ludger Humbert, vol. {P-313, Gesellschaft für Informatik, Bonn, 2021, p. 327, doi:10.18420/infos2021\_w278.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 27493
Podworny, Susanne, et al. “Using Data Cards for Teaching Data Based Decision Trees in Middle School.” Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 39:1-39:3, doi:10.1145/3488042.3489966.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 25524
Höper, Lukas, and Carsten Schulte. “Datenbewusstsein: Aufmerksamkeit für die eigenen Daten.” 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, pp. 73–82, doi:10.18420/infos2021\_f235.
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 56204
Frischemeier, Daniel, et al. “Integration fachwissenschaftlicher und fachdidaktischer Komponenten in der Lehramtsausbildung Mathematik Grundschule am Beispiel einer Veranstaltung zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“.” Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik, Springer Berlin Heidelberg, 2021, doi:10.1007/978-3-662-62854-6_11.
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