Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Dirk Schäfer"'
Autor:
Yann Philippe Charles, Rawan Al Ansari, Arnaud Collinet, Pierre De Marini, Jean Schwartz, Rami Nachabe, Dirk Schäfer, Bernhard Brendel, Afshin Gangi, Roberto Luigi Cazzato
Publikováno v:
Sensors, Vol 22, Iss 12, p 4615 (2022)
Metal artifact reduction (MAR) algorithms are used with cone beam computed tomography (CBCT) during augmented reality surgical navigation for minimally invasive pedicle screw instrumentation. The aim of this study was to assess intra- and inter-obser
Externí odkaz:
https://doaj.org/article/efae821e4d80493c890755105c1122b5
Publikováno v:
Social Work and Society, Vol 14, Iss 2 (2017)
Foster Care Research in Europe is extremely diverse. Traditionally, it has been strongly informed by psychology, especially attachment theory, as well as by therapeutic initiatives and psychopathology. Furthermore, it has been influenced by ideologic
Externí odkaz:
https://doaj.org/article/2c5ebefeba804cb6906a64ce003feb38
Autor:
Markus Feldmann, Dirk Schäfer
Publikováno v:
Stahlbau. 88:1102-1112
Autor:
Artur Omar, Michael Söderman, Fredrik Ståhl, Paul Withagen, Erik Hummel, Axel Thran, Dirk Schäfer, Peter van de Haar, Bernd Menser, Gavin Poludniowski, Åke Holmberg, Anna Falk Delgado, Fred van Nijnatten
Publikováno v:
Medical Physics
PURPOSE Conventional cone-beam computed tomography CT (CBCT) provides limited discrimination between low-contrast tissues. Furthermore, it is limited to full-spectrum energy integration. A dual-energy CBCT system could be used to separate photon ener
Publikováno v:
Groundwater 2000 ISBN: 9781003078593
Groundwater 2000
Groundwater 2000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::563c652afff4771642ab2df531ed14cc
https://doi.org/10.1201/9781003078593-195
https://doi.org/10.1201/9781003078593-195
Autor:
Dirk Schäfer, Frank Emmermann
Publikováno v:
Engineering Psychology and Cognitive Ergonomics ISBN: 9780429027918
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2343def4b554b8541627fc93fe0b867a
https://doi.org/10.1201/9780429027918-21
https://doi.org/10.1201/9780429027918-21
Publikováno v:
Environmental Science & Technology. 52:4937-4949
Hydrogen storage in geological formations is one of the most promising technologies for balancing major fluctuations between energy supply from renewable energy plants and energy demand of customers. If hydrogen gas is stored in a porous medium or if
Autor:
Dirk Schäfer, Eyke Hüllermeier
Publikováno v:
Machine Learning. 107:903-941
Label ranking is a specific type of preference learning problem, namely the problem of learning a model that maps instances to rankings over a finite set of predefined alternatives. Like in conventional classification, these alternatives are identifi
Publikováno v:
Grundwasser. 26:101-102