Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Stefan, Holst"'
Publikováno v:
PeerJ Computer Science, Vol 9, p e1403 (2023)
Investor sentiment plays a crucial role in the stock market, and in recent years, numerous studies have aimed to predict future stock prices by analyzing market sentiment obtained from social media or news. This study investigates the use of investor
Externí odkaz:
https://doaj.org/article/9ace39941a7c47cf8ead4af8c76715ff
Publikováno v:
IEICE Transactions on Information and Systems. :996-1009
Publikováno v:
IEICE Transactions on Information and Systems. :816-827
Publikováno v:
2022 IEEE European Test Symposium (ETS).
Autor:
Oded Bahat, Xing Yin, Stefan Holst, Ion Zabalegui, Eva Berroeta, Javier Pérez, Peter Wöhrle, Norbert Sörgel, John Brunski, Jill A. Helms
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 9; Pages: 2536
The main objectives of this work were to assess the efficiency, ease-of-use, and general performance of a novel osseoshaping tool based on first-user clinical experiences and to compare these observations with preclinical data generated in rodents us
Publikováno v:
2022 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems (VLSID).
Publikováno v:
Journal of Applied Oral Science, Vol 20, Iss 4, Pp 478-485 (2012)
OBJECTIVE: The objective of this study was to investigate the applicability of micro-analytical methods with high spatial resolution to the characterization of the composition and corrosion behavior of two bracket systems. MATERIAL AND METHODS: The s
Externí odkaz:
https://doaj.org/article/ff226a523a7748eb96f89ccfebeb0a2a
Publikováno v:
2021 IEEE 30th Asian Test Symposium (ATS).
Autor:
Marion Hiller, Ata Chokhachian, Christian Frenzel, Pablo Arango, Wolfgang Kessling, Stefan Holst, Thomas Auer
Publikováno v:
Building Simulation Conference Proceedings.
Autor:
Xiaoqing Wen, Alexander Sprenger, Hans-Joachim Wunderlich, Stefan Holst, Jan Dennis Reimer, Sybille Hellebrand, Matthias Kampmann
Publikováno v:
ITC
Hidden delay defects (HDDs) are small delay defects that pass all at-speed tests at nominal capture time. They are an important indicator of latent defects that lead to early-life failures and aging problems that are serious especially in autonomous