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- Sofla, Reza A. D.; Alipour-Fard, Tayeb; Arefi, Hossein
- Road Extraction from Satellite and Aerial Image Using SE-Unet
- Journal of Applied Remote Sensing. Bd. 15. H. 1. SPIE 2021 014512
- Kihm, Axel; Junker, Andy; Wegener, Wolfgang
- Szenarioanalytische Corona-Wirkungen auf die Unternehmensbewertung nach dem WACC-Verfahren
- Der Betrieb. Bd. 11. 2021 S. 517 - 524
- Thiery, Florian; Homburg, Timo; Schmidt, Sophie-Charlotte et al.
- SPARQLing Geodesy for Cultural Heritage – New Opportunities for Publishing and Analysing Volunteered Linked (Geo-)Data
- FIG e-Working Week 2021. Bd. FIG Journal. 2021 S. 1 - 21
- Walsh, David; D. Clough, Paul; Michael Hall, Mark et al.
- Clustering and Classifying Users from the National Museums Liverpool Website.
- TPDL. 2021 S. 202 - 214
- Schäfer-Althaus, Sarah
- Rezension: Monika Pietrzak-Franger. 2017. Syphilis in Victorian Literature and Culture: Medicine, Knowledge and the Spectacle of Victorian Invisibility. Palgrave Studies in Literature, Science and Medicine. New York.
- Anglia. Bd. 139. H. 1. de Gruyter 2021 S. 254 - 258
- Böhm, Klaus; Herbst, Matthias
- Potenziale in medizinisch-dermatologischen Lernumgebungen
- ästhetische dermatologie & kosmetologie. Bd. 13. H. 2. Springer Science and Business Media LLC 2021 S. 30 - 33
- Corea, Carl; Fellmann, Michael; Delfmann, Patrick
- Ontology-Based Process Modelling - Will we live to see it? (Extended Abstract).
- EMISA Forum. Bd. 41. H. 1. 2021 S. 21 - 22
- Schulte, Steven; Gries, Manuela; Christmann, Anne et al.
- Using multielectrode arrays to investigate neurodegenerative effects of the amyloid-beta peptide
- Bioelectronic Medicine. Bd. 7. H. 1. Springer Science and Business Media LLC 2021 15
- Plaß, Bastian; Prudhomme, Claire; Ponciano, Jean-Jacques
- BIM on Artificial Intelligence for Decision Support in E-Health
- International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. XLIII-B2-2021. 2021 S. 207 - 214
- Thiem, Daniel G. E.; Römer, Paul; Gielisch, Matthias et al.
- Hyperspectral imaging and artificial intelligence to detect oral malignancy – part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network
- Head & Face Medicine. Bd. 17. H. 1. Springer Science and Business Media LLC 2021 S. 1 - 9