Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mario Jenz"'
Autor:
Christian Meltebrink, Magnus Komesker, Carolina Kelsch, Daniel König, Mario Jenz, Marvin Strotdresch, Benjamin Wegmann, Cornelia Weltzien, Arno Ruckelshausen
Publikováno v:
Sensors, Vol 22, Iss 15, p 5745 (2022)
Perception of the environment by sensor systems in variable environmental conditions is very complex due to the interference influences. In the field of autonomous machines or autonomous vehicles, environmental conditions play a decisive role in safe
Externí odkaz:
https://doaj.org/article/3ee0990b66af4dad8bfd4a1f93b23f1c
Autor:
Hans Peter Maurer, Arno Ruckelshausen, Mario Jenz, Tobias Würschum, Xintian Zhu, Willmar L. Leiser, Volker Hahn
Publikováno v:
Theoretical and Applied Genetics. 135:653-665
Key message The phenomic predictive ability depends on the genetic architecture of the target trait, being high for complex traits and low for traits with major QTL. Abstract Genomic selection is a powerful tool to assist breeding of complex traits,
Autor:
Meltebrink, Christian1,2,3 (AUTHOR) b.wegmann@strautmann.com, Komesker, Magnus1 (AUTHOR) ckelsch@edu.unisinos.br, Kelsch, Carolina1,4 (AUTHOR) philipp-daniel.koenig@hs-osnabrueck.de, König, Daniel1 (AUTHOR) mario.jenz@hs-osnabrueck.de, Jenz, Mario1 (AUTHOR) marvin.strotdresch@hs-osnabrueck.de, Strotdresch, Marvin1 (AUTHOR) a.ruckelshausen@hs-osnabrueck.de, Wegmann, Benjamin3 (AUTHOR), Weltzien, Cornelia2,5 (AUTHOR), Ruckelshausen, Arno1 (AUTHOR)
Publikováno v:
Sensors (14248220). Aug2022, Vol. 22 Issue 15, p5745-N.PAG. 20p.
Autor:
Niemeyer, Mark, Renz, Marian, Pukrop, Maren, Hagemann, David, Zurheide, Tim, Di Marco, Daniel, Höferlin, Markus, Stark, Philipp, Rahe, Florian, Igelbrink, Matthias, Jenz, Mario, Jarmer, Thomas, Trautz, Dieter, Stiene, Stefan, Hertzberg, Joachim
Publikováno v:
KI: Künstliche Intelligenz; Dec2023, Vol. 37 Issue 2-4, p175-181, 7p
Publikováno v:
KI: Künstliche Intelligenz; Dec2023, Vol. 37 Issue 2-4, p113-115, 3p
Autor:
Zhu, Xintian, Maurer, Hans Peter, Jenz, Mario, Hahn, Volker, Ruckelshausen, Arno, Leiser, Willmar L., Würschum, Tobias
Publikováno v:
Theoretical & Applied Genetics; Feb2022, Vol. 135 Issue 2, p653-665, 13p