Zobrazeno 1 - 10
of 250
pro vyhledávání: '"M. Koll"'
Autor:
Modestov, M., Khomenko, E., Vitas, N., de Vicente, A., Navarro, A., Gonzalez-Morales, P. A., Collados, M., Felipe, T., Martinez-Gomez, D., Hunana, P., Luna, M., Pistarini, M. Koll, Braileanu, B. Popescu, Garcia, A. Perdomo, Liakh, V., Santamaria, I., Miguez, M. M. Gomez
The Mancha3D code is a versatile tool for numerical simulations of magnetohydrodynamic processes in solar/stellar atmospheres. The code includes non-ideal physics derived from plasma partial ionization, a realistic equation of state and radiative tra
Externí odkaz:
http://arxiv.org/abs/2312.04179
Akademický článek
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Autor:
Group, Marie Louise de Hesselle, Stefan Borgmann, Siegbert Rieg, Jörg Janne Vehreschild, Sebastian Rasch, Carolin E. M. Koll, Martin Hower, Melanie Stecher, Daniel Ebert, Frank Hanses, Julia Schumann, on behalf of the LEOSS Study Group on behalf of the LEOSS Study
Publikováno v:
Journal of Clinical Medicine; Volume 12; Issue 7; Pages: 2469
During the COVID-19 pandemic, large numbers of elderly, multimorbid people required treatment in intensive care units. This study investigated how the inherent patient factors age and comorbidity burden affected the treatment strategy and the outcome
Autor:
Lisa Pilgram, Katharina S. Appel, Maria M. Ruethrich, Carolin E. M. Koll, Maria J. G. T. Vehreschild, Susana M. Nunes de Miranda, Martin Hower, Kerstin Hellwig, Frank Hanses, Kai Wille, Martina Haselberger, Christoph D. Spinner, Juergen Vom Dahl, Bernd Hertenstein, Timm Westhoff, J. Janne Vehreschild, Björn-Erik Ole Jensen, Melanie Stecher
Publikováno v:
Infection.
Objectives The use of remdesivir (RDV) as the first drug approved for coronavirus disease 2019 (COVID-19) remains controversial. Based on the Lean European Open Survey on severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infected patients
Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients
Autor:
Carolin E M, Koll, Sina M, Hopff, Thierry, Meurers, Chin Huang, Lee, Mirjam, Kohls, Christoph, Stellbrink, Charlotte, Thibeault, Lennart, Reinke, Sarah, Steinbrecher, Stefan, Schreiber, Lazar, Mitrov, Sandra, Frank, Olga, Miljukov, Johanna, Erber, Johannes C, Hellmuth, Jens-Peter, Reese, Fridolin, Steinbeis, Thomas, Bahmer, Marina, Hagen, Patrick, Meybohm, Stefan, Hansch, István, Vadász, Lilian, Krist, Steffi, Jiru-Hillmann, Fabian, Prasser, Jörg Janne, Vehreschild, O, Witzke
Publikováno v:
Scientific Data. 9
Anonymization has the potential to foster the sharing of medical data. State-of-the-art methods use mathematical models to modify data to reduce privacy risks. However, the degree of protection must be balanced against the impact on statistical prope
Autor:
Marie Louise, de Hesselle, Stefan, Borgmann, Siegbert, Rieg, Jörg Janne, Vehreshild, Christoph D, Spinner, Carolin E M, Koll, Martin, Hower, Melanie, Stecher, Daniel, Ebert, Frank, Hanses, Julia, Schumann, On Behalf Of The Sarel Investigators
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 17; Pages: 5239
Superinfections are a fundamental critical care problem, and their significance in severe COVID-19 cases needs to be determined. This study analyzed data from the Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS) cohort focusing on in
Publikováno v:
Archives of Metallurgy and Materials, Vol vol. 69, Iss No 2, Pp 545-552 (2024)
Day-to-day life advanced composite materials usage is increasing continuously and replacing the existing monolithic materials. These composite materials are designed and fabricated for human needs with specific applications and also meet the standard
Externí odkaz:
https://doaj.org/article/f610542b7a9f402999814218f7b9fef0
FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 159-166 (2023)
Paid crowdsourcing is a popular approach for creating training data in machine learning, but output quality can suffer from various drawbacks, such as noisy data. One solution is to obtain multiple acquisitions of the same dataset and perform integra
Externí odkaz:
https://doaj.org/article/a9cda8728c08447e94e3a92c735632b7
LEARNING ON THE EDGE: BENCHMARKING ACTIVE LEARNING FOR THE SEMANTIC SEGMENTATION OF ALS POINT CLOUDS
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 945-952 (2023)
While most research in automatic semantic segmentation of 3D geospatial point clouds is concerned with enhancing respective Machine Learning (ML) models, we aim to shift the focus to be more of a data-centric nature. This means, we consider the creat
Externí odkaz:
https://doaj.org/article/332cf20b56254c17842c542a5379c6bc
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.