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pro vyhledávání: '"Weichert, A"'
The dispersive motion of surface waves is now routinely used to remotely measure the currents close beneath the surface of oceans and other natural flows. The current manifests as wavelength-dependent Doppler shifts in the spatiotemporal wave spectru
Externí odkaz:
http://arxiv.org/abs/2408.08197
The practical use of Bayesian Optimization (BO) in engineering applications imposes special requirements: high sampling efficiency on the one hand and finding a robust solution on the other hand. We address the case of adversarial robustness, where a
Externí odkaz:
http://arxiv.org/abs/2405.19059
Autor:
Weichert, James, Dimobi, Chinecherem
As large language models (LLMs) become increasingly commonplace, concern about distinguishing between human and AI text increases as well. The growing power of these models is of particular concern to teachers, who may worry that students will use LL
Externí odkaz:
http://arxiv.org/abs/2404.11408
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, vol 61, no 4208515 (2023)
Remotely measuring subsurface water currents from imagery of the wave field has become a much-used technique. We study the biases and errors in such measurements due to spectral leakage, and suggest mitigating procedures. Deviations between peak valu
Externí odkaz:
http://arxiv.org/abs/2311.01265
Autor:
Jedrusiak, Mikel D., Harweg, Thomas, Haselhoff, Timo, Lawrence, Bryce T., Moebus, Susanne, Weichert, Frank
Soundscapes have been studied by researchers from various disciplines, each with different perspectives, goals, approaches, and terminologies. Accordingly, depending on the field, the concept of a soundscape's components changes, consequently changin
Externí odkaz:
http://arxiv.org/abs/2310.13404
Fatigue strength estimation is a costly manual material characterization process in which state-of-the-art approaches follow a standardized experiment and analysis procedure. In this paper, we examine a modular, Machine Learning-based approach for fa
Externí odkaz:
http://arxiv.org/abs/2212.01136
Autor:
Weichert, Jan1,2 (AUTHOR) jan.weichert@uksh.de, Scharf, Jann Lennard1 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Sep2024, Vol. 13 Issue 18, p5626. 20p.
Autor:
Gissel Velarde, Michael Weichert, Anuj Deshmunkh, Sanjay Deshmane, Anindya Sudhir, Khushboo Sharma, Vaibhav Joshi
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200354- (2024)
Most real-world classification problems deal with imbalanced datasets, posing a challenge for Artificial Intelligence (AI), i.e., machine learning algorithms, because the minority class, which is of extreme interest, often proves difficult to be dete
Externí odkaz:
https://doaj.org/article/434b5ecf98444c579fa50916b116bd43
Autor:
Fabian G. Weichert, Werner Brack, Mario Brauns, Patrick Fink, Sarah Johann, Martin Krauss, Henner Hollert
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110510- (2024)
Chemical pollution of the aquatic environment is nowadays characterised by increasing levels of anthropogenic organic compounds at low concentrations and is recognised as one of the main drivers of the deteriorated ecological state of European waterb
Externí odkaz:
https://doaj.org/article/13dbcdce088948d78620c14a654027bf
Autor:
Menzel, Michael, Martis-Thiele, Mihaela, Goldschmid, Hannah, Ott, Alexander, Romanovsky, Eva, Siemanowski-Hrach, Janna, Seillier, Lancelot, Brüchle, Nadina Ortiz, Maurer, Angela, Lehmann, Kjong-Van, Begemann, Matthias, Elbracht, Miriam, Meyer, Robert, Dintner, Sebastian, Claus, Rainer, Meier-Kolthoff, Jan P., Blanc, Eric, Möbs, Markus, Joosten, Maria, Benary, Manuela, Basitta, Patrick, Hölscher, Florian, Tischler, Verena, Groß, Thomas, Kutz, Oliver, Prause, Rebecca, William, Doreen, Horny, Kai, Goering, Wolfgang, Sivalingam, Sugirthan, Borkhardt, Arndt, Blank, Cornelia, Junk, Stefanie V., Yasin, Layal, Moskalev, Evgeny A., Carta, Maria Giulia, Ferrazzi, Fulvia, Tögel, Lars, Wolter, Steffen, Adam, Eugen, Matysiak, Uta, Rosenthal, Tessa, Dönitz, Jürgen, Lehmann, Ulrich, Schmidt, Gunnar, Bartels, Stephan, Hofmann, Winfried, Hirsch, Steffen, Dikow, Nicola, Göbel, Kirsten, Banan, Rouzbeh, Hamelmann, Stefan, Fink, Annette, Ball, Markus, Neumann, Olaf, Rehker, Jan, Kloth, Michael, Murtagh, Justin, Hartmann, Nils, Jurmeister, Phillip, Mock, Andreas, Kumbrink, Jörg, Jung, Andreas, Mayr, Eva-Maria, Jacob, Anne, Trautmann, Marcel, Kirmse, Santina, Falkenberg, Kim, Ruckert, Christian, Hirsch, Daniela, Immel, Alexander, Dietmaier, Wolfgang, Haack, Tobias, Marienfeld, Ralf, Fürstberger, Axel, Niewöhner, Jakob, Gerstenmaier, Uwe, Eberhardt, Timo, Greif, Philipp A., Appenzeller, Silke, Maurus, Katja, Doll, Julia, Jelting, Yvonne, Jonigk, Danny, Märkl, Bruno, Beule, Dieter, Horst, David, Wulf, Anna-Lena, Aust, Daniela, Werner, Martin, Reuter-Jessen, Kirsten, Ströbel, Philipp, Auber, Bernd, Sahm, Felix, Merkelbach-Bruse, Sabine, Siebolts, Udo, Roth, Wilfried, Lassmann, Silke, Klauschen, Frederick, Gaisa, Nadine T., Weichert, Wilko, Evert, Matthias, Armeanu-Ebinger, Sorin, Ossowski, Stephan, Schroeder, Christopher, Schaaf, Christian P., Malek, Nisar, Schirmacher, Peter, Kazdal, Daniel, Pfarr, Nicole, Budczies, Jan, Stenzinger, Albrecht
Publikováno v:
In European Journal of Cancer November 2024 211