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17249 Publications


2021 | Journal Article | LibreCat-ID: 22510
Li, Shouwei, et al. “A Continuous Strategy for Collisionless Gathering.” Theoretical Computer Science, vol. 852, 2021, pp. 41–60, doi:10.1016/j.tcs.2020.10.037.
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2021 | Conference Paper | LibreCat-ID: 24000
Heitkaemper, Jens, A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. Speech Communication; 14th ITG-Symposium (). , 2021
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2021 | Journal Article | LibreCat-ID: 24376
Henkes, Alexander, et al. “A Deep Learning Driven Pseudospectral PCE Based FFT Homogenization Algorithm for Complex Microstructures.” Computer Methods in Applied Mechanics and Engineering, 114070, 2021, doi:10.1016/j.cma.2021.114070.
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2021 | Journal Article | LibreCat-ID: 24397
Henkes, Alexander, et al. “A Deep Learning Driven Uncertain Full‐field Homogenization Method.” PAMM, 2021, doi:10.1002/pamm.202000180.
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2021 | Journal Article | LibreCat-ID: 24009
Camberg, Alan A., A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations. Materials (). , 2021
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2021 | Conference Paper | LibreCat-ID: 23779
Bernijazov, Ruslan, et al. A Meta-Review on Artificial Intelligence in Product Creation. 2021.
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2021 | Journal Article | LibreCat-ID: 21679
Han, Daxin, et al. “A Method for Three-Dimensional Modelling of the Shear-Clinching Process.” ESAFORM 2021, 2021, doi:10.25518/esaform21.1948.
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2021 | Journal Article | LibreCat-ID: 24283
Malatyali, Hatice, et al. “A Model for the Carbon Fiber Breakage along the Twin‐screw Extruder.” SPE Polymers, 2021, pp. 145–52, doi:10.1002/pls2.10040.
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2021 | Conference Paper | LibreCat-ID: 20540
Jovanovikj, Ivan, et al. “A Modeling Workbench for the Development of Situation-Specific Test Co-Migration Methods .” Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development , SCITEPRESS, 2021, pp. 232–39.
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2021 | Journal Article | LibreCat-ID: 25046
Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions.” Machines, vol. 9, no. 10, 210, 2021, doi:10.3390/machines9100210.
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