Suche
Kategorie
Erscheinungsjahr
134 Treffer
×
Publikationen
×
2020
×
Johannes Gutenberg-Universität Mainz
×
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
×
Hochschule Mainz
×
Katholische Hochschule Mainz
×
Hochschule Worms
×
Technische Hochschule Bingen
×
Theologische Fakultät Trier
- Acharya, S.; Adamova, D.; Keidel, Ralf et al.
- Constraining the Chiral Magnetic Effect with charge-dependent azimuthal correlations in Pb-Pb collisions at sNN√ = 2.76 and 5.02 TeV
- arXiv.org (Hrsg). Genf. 2020 29 S. 2005.14640
- Acharya, S.; Adamova, D.; Keidel, Ralf et al.
- Multiplicity dependence of J/ψ production at midrapidity in pp collisions at s√ = 13 TeV
- arXiv.org (Hrsg). Genf. 2020 22 S. 2005.11123
- Acharya, S.; Adamova, D.; Keidel, Ralf et al.
- Λ+c production and baryon-to-meson ratios in pp and p-Pb collisions at sNN√=5.02 TeV at the LHC
- arXiv. 2020 2011.06078
- Kuroczyński, Piotr
- Digitale 3D-Rekonstruktion als neue Forschungsmethode in den Geisteswissenschaften (Vortrag)
- Vortrag im Rahmen des „Digital Humanities Kolloquiums“ am Kunsthistorischen Institut der Universität zu Köln, 02.07.2020. Köln. 2020
- Thiery, Florian; Homburg, Timo; Schmidt, Sophie Ch. et al.
- SPARQLing Geodesy for Cultural Heritage: New Opportunities for Publishing and Analysing Volunteered Linked (Geo-)Data
- FIG Geospatial Week 2020. Amsterdam. 2020
- Treccani, G; Yigit, H; Lingner, T et al.
- Early life stress programming of NG2+ glia transcriptome alters functional properties of voltage gated sodium (Nav) channels and cognitive performance
- 2020
- Wiesemann, Jens-Uwe; Priebe, Lukas; Schill, Florian
- Zum Einsatzpotenzial des terrestrischen Laserscanning (TLS) in der wasserbaulichen Praxis
- Dresden. 2020
- Schill, Florian; Eichhorn, Andreas
- Monitoring mit Profilscannern
- online. 2020
- Ohashi, Kyoko; Namba, Isao; Yamamoto, Rieko et al.
- Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation
- Zürich. 2020
- Nakamichi, Koji
- Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation
- 2020 28TH IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE'20). 2020 S. 260 - 270