Zobrazeno 1 - 10
of 5 300
pro vyhledávání: '"Böhm Michael"'
Autor:
Alaa Din Abdin, Marie Hammerschmidt, Amine Maamri, Cristian Munteanu, Haring Bernhard, Böhm Michael, Berthold Seitz, Amr Abdin
Publikováno v:
Heliyon, Vol 9, Iss 12, Pp e22700- (2023)
Purpose: To investigate the influence of fluorescein angiography (FA) on blood pressure (BP) in patients with retinal diseases, and analyze the predictive factors for acute elevation of systolic BP after FA. Design: and Methods: A prospective study w
Externí odkaz:
https://doaj.org/article/4eb1d1ef22cc450f8ad7dccd12906797
Publikováno v:
Journal of Mechanical Engineering, Vol 72, Iss 3, Pp 61-70 (2022)
Greenhouse gases jeopardize world’s climate. A significant amount of these pollutants is produced by road vehicles, so their producers are forced to reduce their emissions significantly. This means that every car manufacturer is expanding their ele
Externí odkaz:
https://doaj.org/article/8a785c14e15543b2b15c55ccff9b4251
Autor:
Zajnulina, Marina, Böhm, Michael
The temporal Talbot effect refers to the periodic self-imaging of pulse trains in optical fibers. The connection between the linear and nonlinear temporal Talbot effect is still not fully understood. To address this challenge, we use Soliton Radiatio
Externí odkaz:
http://arxiv.org/abs/2405.09160
Autor:
Schaller, Manuel, Zeller, Amelie, Böhm, Michael, Sawodny, Oliver, Tarín, Cristina, Worthmann, Karl
Adaptive structures are equipped with sensors and actuators to actively counteract external loads such as wind. This can significantly reduce resource consumption and emissions during the life cycle compared to conventional structures. A common appro
Externí odkaz:
http://arxiv.org/abs/2306.13331
Autor:
Kuo, Nicholas I-Hsien, Garcia, Federico, Sönnerborg, Anders, Zazzi, Maurizio, Böhm, Michael, Kaiser, Rolf, Polizzotto, Mark, Jorm, Louisa, Barbieri, Sebastiano
Clinical data usually cannot be freely distributed due to their highly confidential nature and this hampers the development of machine learning in the healthcare domain. One way to mitigate this problem is by generating realistic synthetic datasets u
Externí odkaz:
http://arxiv.org/abs/2208.08655
Autor:
Kuo, Nicholas I-Hsien, Polizzotto, Mark N., Finfer, Simon, Garcia, Federico, Sönnerborg, Anders, Zazzi, Maurizio, Böhm, Michael, Jorm, Louisa, Barbieri, Sebastiano
In recent years, the machine learning research community has benefited tremendously from the availability of openly accessible benchmark datasets. Clinical data are usually not openly available due to their highly confidential nature. This has hamper
Externí odkaz:
http://arxiv.org/abs/2203.06369
Autor:
Sharp, Andrew S.P., Kandzari, David E., Townsend, Raymond R., Kario, Kazuomi, Mahfoud, Felix, Weber, Michael A., Schmieder, Roland E., Tsioufis, Konstantinos, Böhm, Michael, Choi, James W., Liu, Minglei, DeBruin, Vanessa, Lee, David P.
Publikováno v:
In Cardiovascular Revascularization Medicine November 2024 68:30-36
Autor:
Matsumoto, Shingo, Shen, Li, Henderson, Alasdair D., Böhm, Michael, Desai, Akshay S., Køber, Lars, Lefkowitz, Martin P., Packer, Milton, Rouleau, Jean L., Solomon, Scott D., Swedberg, Karl, Vaduganathan, Muthiah, Vardeny, Orly, Voors, Adriaan A., Zile, Michael R., Jhund, Pardeep S., McMurray, John J.V.
Publikováno v:
In Journal of the American College of Cardiology 29 October 2024 84(18):1685-1700
Publikováno v:
In Control Engineering Practice October 2024 151