Zobrazeno 1 - 10
of 3 144
pro vyhledávání: '"Overeem, A."'
Companies support their customers using live chats and chatbots to gain their loyalty. AFAS is a Dutch company aiming to leverage the opportunity large language models (LLMs) offer to answer customer queries with minimal to no input from its customer
Externí odkaz:
http://arxiv.org/abs/2411.00034
Autor:
van Gorp, Hans, van Gilst, Merel M., Fonseca, Pedro, van Meulen, Fokke B., van Dijk, Johannes P., Overeem, Sebastiaan, van Sloun, Ruud J. G.
Gold-standard sleep scoring as performed by human technicians is based on a subset of PSG signals, namely the EEG, EOG, and EMG. The PSG, however, consists of many more signal derivations that could potentially be used to perform sleep staging, inclu
Externí odkaz:
http://arxiv.org/abs/2408.15253
Autor:
A. El Hachem, J. Seidel, T. O'Hara, R. Villalobos Herrera, A. Overeem, R. Uijlenhoet, A. Bárdossy, L. de Vos
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 4715-4731 (2024)
The number of rainfall observations from personal weather stations (PWSs) has increased significantly over the past years; however, there are persistent questions about data quality. In this paper, we reflect on three quality control algorithms (PWSQ
Externí odkaz:
https://doaj.org/article/191f01e71f4e4b1ea8ac00099d901a60
Autor:
Elisabeth Storch, Lucas H. Overeem, Maria Terhart, Mira P. Fitzek, Kristin S. Lange, Uwe Reuter, Bianca Raffaelli
Publikováno v:
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Endogeneous and exogeneous sex hormones can impact the frequency and severity of migraine attacks, but the underlying mechanisms are poorly understood. In this study, we investigate the relationship between female sex hormones and
Externí odkaz:
https://doaj.org/article/4cec331620fa46aa8cd035cadf1e0a51
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 2811-2832 (2024)
Terrestrial microwave links are increasingly being used to estimate path-averaged precipitation by determining the attenuation caused by rainfall along the link path, mostly with commercial microwave links from cellular telecommunication networks. Ho
Externí odkaz:
https://doaj.org/article/85a8e2cda9264b30be8ab2182ebfe5f5
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-16 (2024)
Abstract Background Sleep-disordered breathing (SDB) affects a significant portion of the population. As such, there is a need for accessible and affordable assessment methods for diagnosis but also case-finding and long-term follow-up. Research has
Externí odkaz:
https://doaj.org/article/ca960677f5484bf19a3c6759b0330a8b
Autor:
Marie Süße, Christine Kloetzer, Sebastian Strauß, Johanna Ruhnau, Lucas Hendrik Overeem, Merle Bendig, Juliane Schulze, Uwe Reuter, Antje Vogelgesang, Robert Fleischmann
Publikováno v:
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background To date, migraine is diagnosed exclusively based on clinical criteria, but fluid biomarkers are desirable to gain insight into pathophysiological processes and inform clinical management. We investigated the state-dependent profil
Externí odkaz:
https://doaj.org/article/cd91ce691b1742c99b4ee0f57cfcfe9d
Autor:
T. Gan, G. E. Tucker, E. W. H. Hutton, M. D. Piper, I. Overeem, A. J. Kettner, B. Campforts, J. M. Moriarty, B. Undzis, E. Pierce, L. McCready
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 2165-2185 (2024)
Progress in better understanding and modeling Earth surface systems requires an ongoing integration of data and numerical models. Advances are currently hampered by technical barriers that inhibit finding, accessing, and executing modeling software w
Externí odkaz:
https://doaj.org/article/c7efed1c657a4d07adebc1e01c910197
Autor:
Huijben, Iris A. M., Nijdam, Arthur A., Overeem, Sebastiaan, van Gilst, Merel M., van Sloun, Ruud J. G.
Publikováno v:
International Conference on Machine Learning 2023
Continuous monitoring with an ever-increasing number of sensors has become ubiquitous across many application domains. However, acquired time series are typically high-dimensional and difficult to interpret. Expressive deep learning (DL) models have
Externí odkaz:
http://arxiv.org/abs/2205.15875
Publikováno v:
In The Journal of Systems & Software January 2025 219