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Table1_Enhancing biomechanical machine learning with limite..:
Carlo Dindorf
;
Jonas Dully
;
Jürgen Konradi
...
doi:10.3389/fbioe.2024.1350135.s001. , 2024
Link:
https://doi.org/10.3389/fbioe.2024.1350135.s001
RT Journal T1
Table1_Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence.pdf
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_25217858&Exemplar=1&LAN=DE A1 Carlo Dindorf A1 Jonas Dully A1 Jürgen Konradi A1 Claudia Wolf A1 Stephan Becker A1 Steven Simon A1 Janine Huthwelker A1 Frederike Werthmann A1 Johanna Kniepert A1 Philipp Drees A1 Ulrich Betz A1 Michael Fröhlich YR 2024 K1 Biotechnology K1 Biological Engineering K1 Genetic Engineering K1 Biomarkers K1 Biomaterials K1 Biomechanical Engineering K1 Biomedical Engineering not elsewhere classified K1 Synthetic Biology K1 Agricultural Marine Biotechnology K1 Bioremediation K1 Bioprocessing K1 Bioproduction and Bioproducts K1 Industrial Biotechnology Diagnostics (incl. Biosensors) K1 Industrial Microbiology (incl. Biofeedstocks) K1 Industrial Molecular Engineering of Nucleic Acids and Proteins K1 Industrial Biotechnology not elsewhere classified K1 Medical Biotechnology Diagnostics (incl. Biosensors) K1 Medical Molecular Engineering of Nucleic Acids and Proteins K1 Regenerative Medicine (incl. Stem Cells and Tissue Engineering) K1 Medical Biotechnology not elsewhere classified K1 machine learning K1 deep learning K1 spine K1 variational autoencoder K1 data augmentation K1 statistical parametric mapping JF doi:10.3389/fbioe.2024.1350135.s001 LK http://dx.doi.org/https://doi.org/10.3389/fbioe.2024.1350135.s001 DO https://doi.org/10.3389/fbioe.2024.1350135.s001 SF ELIB - SuUB Bremen
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