Zobrazeno 1 - 10
of 5 077
pro vyhledávání: '"Mogensen, P."'
Autor:
Ramírez-Arroyo, Alejandro, Sørensen, Troels B., Beltoft, Peter, Christiansen, Henrik, Valenzuela-Valdés, Juan F., Mogensen, Preben
Publikováno v:
IEEE Wireless Communications Letters, 2024
This letter presents a measurement campaign carried out in an FR2 urban outdoor environment in a live experimental network deployment. The radio propagation analysis from a physical perspective at 26 GHz is essential for the correct deployment and di
Externí odkaz:
http://arxiv.org/abs/2404.05477
Autor:
Manten, Georg, Casolo, Cecilia, Ferrucci, Emilio, Mogensen, Søren Wengel, Salvi, Cristopher, Kilbertus, Niki
Inferring the causal structure underlying stochastic dynamical systems from observational data holds great promise in domains ranging from science and health to finance. Such processes can often be accurately modeled via stochastic differential equat
Externí odkaz:
http://arxiv.org/abs/2402.18477
Causal discovery outputs a causal structure, represented by a graph, from observed data. For time series data, there is a variety of methods, however, it is difficult to evaluate these on real data as realistic use cases very rarely come with a known
Externí odkaz:
http://arxiv.org/abs/2310.18654
Autor:
Mogensen, Søren Wengel
Graphical models use graphs to represent conditional independence structure in the distribution of a random vector. In stochastic processes, graphs may represent so-called local independence or conditional Granger causality. Under some regularity con
Externí odkaz:
http://arxiv.org/abs/2310.13796
We study time-dependent mediators in survival analysis using a treatment separation approach due to Didelez [2019] and based on earlier work by Robins and Richardson [2011]. This approach avoids nested counterfactuals and crossworld assumptions which
Externí odkaz:
http://arxiv.org/abs/2310.04709
Publikováno v:
Proceedings of the 30th International Symposium on Temporal Representation and Reasoning (TIME 2023), Leibniz International Proceedings in Informatics (LIPIcs), 8:1-8:21
Interacting systems of events may exhibit cascading behavior where events tend to be temporally clustered. While the cascades themselves may be obvious from the data, it is important to understand which states of the system trigger them. For this pur
Externí odkaz:
http://arxiv.org/abs/2308.10606
Autor:
Ramírez-Arroyo, Alejandro, López, Melisa, Rodríguez, Ignacio, Sørensen, Troels B., del Barrio, Samantha Caporal, Padilla, Pablo, Valenzuela-Valdés, Juan F., Mogensen, Preben
Industrial environments constitute a challenge in terms of radio propagation due to the presence of machinery and the mobility of the different agents, especially at mmWave bands. This paper presents an experimental evaluation of a FR2 5G network dep
Externí odkaz:
http://arxiv.org/abs/2308.08946
Autor:
Christina Sonne Mogensen, Malene Nygaard, Ulla Kampmann, Christian Mølgaard, Faidon Magkos, Nina Rica Wium Geiker
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Gestational diabetes mellitus (GDM) adversely affects offspring glucose homeostasis and risk of developing obesity. Here, we examined the association between glycemia in pregnant women with overweight or obesity without GDM and offspring met
Externí odkaz:
https://doaj.org/article/55a24aaffb114ec18c0179ce01ff7fa9
Autor:
Anne Heltborg, Christian Backer Mogensen, Helene Skjøt-Arkil, Matthias Giebner, Ayham Al-Masri, Usha Bc Khatry, Sangam Khatry, Ina Isabell Kathleen Heinemeier, Jonas Jannick Andreasen, Sanne Sarmila Sivalingam Hariesh, Tenna Termansen, Anna Natalie Kolnes, Morten Hjarnø Lorentzen, Christian Borbjerg Laursen, Stefan Posth, Michael Brun Andersen, Bo Mussmann, Camilla Stræde Spile, Ole Graumann
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-9 (2024)
Abstract Background Without increasing radiation exposure, ultralow-dose computed tomography (CT) of the chest provides improved diagnostic accuracy of radiological pneumonia diagnosis compared to a chest radiograph. Yet, radiologist resources to rap
Externí odkaz:
https://doaj.org/article/4495bab1b2654bcdb7026d46a4b060be
Autor:
Claus Lohman Brasen, Eline Sandvig Andersen, Jeppe Buur Madsen, Jens Hastrup, Henry Christensen, Dorte Patuel Andersen, Pia Margrethe Lind, Nina Mogensen, Poul Henning Madsen, Anne Friesgaard Christensen, Jonna Skov Madsen, Ejler Ejlersen, Ivan Brandslund
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Diagnosing patients in the medical emergency department is complex and this is expected to increase in many countries due to an ageing population. In this study we investigate the feasibility of training machine learning algorithms to assist
Externí odkaz:
https://doaj.org/article/e834af6c3a7b40398dd92a9c811d9117