Zobrazeno 1 - 10
of 4 091
pro vyhledávání: '"SCHMIDT, DAVID"'
In this paper, we examine the impact of lexicalization on Question Answering over Linked Data (QALD). It is well known that one of the key challenges in interpreting natural language questions with respect to SPARQL lies in bridging the lexical gap,
Externí odkaz:
http://arxiv.org/abs/2411.03906
Autor:
Schimassek, Martin, Engel, Ralph, Ferrari, Alfredo, Roth, Markus, Schmidt, David, Veberič, Darko
Although the electromagnetic and muonic components of extensive air showers have been studied in great detail, no comprehensive simulation study of the neutron component is available. This is related to the complexity of neutron transport processes t
Externí odkaz:
http://arxiv.org/abs/2406.11702
Publikováno v:
Phys. Rev. D 110 (2024) 023030
We present a full model of surface-detector responses to extensive air showers. The model is motivated by the principles of air-shower universality and can be applied to different types of surface detectors. Here we describe a parametrization for bot
Externí odkaz:
http://arxiv.org/abs/2405.03494
Autor:
Heras, Alba de las, Schmidt, David, Román, Julio San, Serrano, Javier, Adams, Daniel, Plaja, Luis, Durfee, Charles G., Hernández-García, Carlos
The landscape of ultrafast structured light pulses has recently evolved driven by the capability of high-order harmonic generation (HHG) to up-convert orbital angular momentum (OAM) from the infrared to the extreme-ultraviolet (EUV) spectral regime.
Externí odkaz:
http://arxiv.org/abs/2402.15225
Publikováno v:
In ASME International Mechanical Engineering Congress and Exposition, vol. 87660, p. V009T10A062. American Society of Mechanical Engineers, 2023
High-fidelity computational fluid dynamics (CFD) simulations for design space explorations can be exceedingly expensive due to the cost associated with resolving the finer scales. This computational cost/accuracy trade-off is a major challenge for mo
Externí odkaz:
http://arxiv.org/abs/2305.00114
Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
In this paper, we address the challenging problem of detecting bearing faults in railway vehicles by analyzing acoustic signals recorded during regular operation. For this, we introduce Mel Frequency Cepstral Coefficients (MFCCs) as features, which f
Externí odkaz:
http://arxiv.org/abs/2304.07307
Autor:
Nott, Melissa1 (AUTHOR) mnott@csu.edu.au, Schmidt, David2,3 (AUTHOR), Thomas, Matt4,5,6 (AUTHOR), Reilly, Kathryn7,8 (AUTHOR), Saksena, Teesta9 (AUTHOR), Kennedy, Jessica9 (AUTHOR), Hawke, Catherine3 (AUTHOR), Christian, Bradley10,11,12 (AUTHOR)
Publikováno v:
BMC Health Services Research. 11/8/2024, Vol. 24 Issue 1, p1-13. 13p.
