Zobrazeno 1 - 10
of 5 783
pro vyhledávání: '"Langhammer A"'
Autor:
Backman H, Bhatta L, Hedman L, Brumpton B, Vähätalo I, Lassmann-Klee PG, Nwaru BI, Ekerljung L, Krokstad S, Aalberg Vikjord SA, Lindberg A, Kankaanranta H, Rönmark E, Langhammer A
Publikováno v:
Journal of Asthma and Allergy, Vol Volume 17, Pp 209-218 (2024)
Helena Backman,1,* Laxmi Bhatta,2,3,* Linnea Hedman,1 Ben Brumpton,2 Iida Vähätalo,4,5 Paul G Lassmann-Klee,6 Bright I Nwaru,7 Linda Ekerljung,7 Steinar Krokstad,8,9 Sigrid Anna Aalberg Vikjord,2 Anne Lindberg,10 Hannu Kankaanranta,7 Eva R
Externí odkaz:
https://doaj.org/article/a899711200334b1f87144bf1667d8312
Autor:
Lepsien, Arvid, Pegoraro, Marco, Fonger, Frederik, Langhammer, Dominic, Aleknonytė-Resch, Milda, Koschmider, Agnes
Various kinds of uncertainty can occur in event logs, e.g., due to flawed recording, data quality issues, or the use of probabilistic models for activity recognition. Stochastically known event logs make these uncertainties transparent by encoding mu
Externí odkaz:
http://arxiv.org/abs/2410.00067
eGPU, a recently-reported soft GPGPU for FPGAs, has demonstrated very high clock frequencies (more than 750 MHz) and small footprint. This means that for the first time, commercial soft processors may be competitive for the kind of heavy numerical co
Externí odkaz:
http://arxiv.org/abs/2406.03227
Publikováno v:
International Journal of COPD, Vol Volume 15, Pp 323-334 (2020)
Hasse Melbye,1 Jon Helgeland,2 Øystein Karlstad,3 Inger Ariansen,3 Arnulf Langhammer,4 Torbjørn Wisløff,1 Per Nafstad,3 Wenche Nystad3 1General Practice Research Unit, Department of Community Medicine, UIT the Arctic University of Norway, Tromsø,
Externí odkaz:
https://doaj.org/article/59bf8a93699c4318ae09b29393ffc704
Publikováno v:
International Journal of COPD, Vol Volume 15, Pp 225-233 (2020)
Laxmi Bhatta,1 Linda Leivseth,2 Xiao-Mei Mai,1 Anne Hildur Henriksen,3,4 David Carslake,5,6 Yue Chen,7 Arnulf Langhammer,8,* Ben Michael Brumpton4,5,9,* 1Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Tr
Externí odkaz:
https://doaj.org/article/934f4abea4cd4d629124651546305cbc
Autor:
Hellevik AI, Johnsen MB, Langhammer A, Baste V, Furnes O, Storheim K, Zwart JA, Flugsrud GB, Nordsletten L
Publikováno v:
Clinical Epidemiology, Vol Volume 10, Pp 83-96 (2018)
Alf Inge Hellevik,1,2 Marianne Bakke Johnsen,3,4 Arnulf Langhammer,1 Valborg Baste,5 Ove Furnes,6,7 Kjersti Storheim,3,4 John Anker Zwart,3,4 Gunnar Birkeland Flugsrud,2 Lars Nordsletten2,4 1The HUNT Research Centre, Department of Public Health and N
Externí odkaz:
https://doaj.org/article/1eff08fe3774499d9f577c997bc7b348
We study a spatial Markovian particle system with pairwise coagulation, a spatial version of the Marcus--Lushnikov process: according to a coagulation kernel $K$, particle pairs merge into a single particle, and their masses are united. We introduce
Externí odkaz:
http://arxiv.org/abs/2401.06668
Current soft processor architectures for FPGAs do not utilize the potential of the massive parallelism available. FPGAs now support many thousands of embedded floating point operators, and have similar computational densities to GPGPUs. Several soft
Externí odkaz:
http://arxiv.org/abs/2401.04261
Autor:
Martvall, Viktor, Moberg, Henrik Klein, Theodoridis, Athanasios, Tomeček, David, Ekborg-Tanner, Pernilla, Nilsson, Sara, Volpe, Giovanni, Erhart, Paul, Langhammer, Christoph
The ability to rapidly detect hydrogen gas upon occurrence of a leak is critical for the safe large-scale implementation of hydrogen (energy) technologies. However, to date, no technically viable sensor solution exists that meets the corresponding re
Externí odkaz:
http://arxiv.org/abs/2312.15372
Autor:
Koschmider, Agnes, Aleknonytė-Resch, Milda, Fonger, Frederik, Imenkamp, Christian, Lepsien, Arvid, Apaydin, Kaan, Harms, Maximilian, Janssen, Dominik, Langhammer, Dominic, Ziolkowski, Tobias, Zisgen, Yorck
The application of process mining for unstructured data might significantly elevate novel insights into disciplines where unstructured data is a common data format. To efficiently analyze unstructured data by process mining and to convey confidence i
Externí odkaz:
http://arxiv.org/abs/2401.13677