Zobrazeno 1 - 10
of 23 444
pro vyhledávání: '"Schönfeld"'
Die gestellten Anforderungen an moderne Fertigungssysteme wachsen stetig. So werden neben einem großen Durchsatz bei gleichzeitig hoher Produktqualität auch Anforderungen in Hinblick auf Kompaktheit, Energieeffizienz, Erweiterbarkeit und Cyber-Resi
Externí odkaz:
https://htwk-leipzig.qucosa.de/id/qucosa%3A89699
https://htwk-leipzig.qucosa.de/api/qucosa%3A89699/attachment/ATT-0/
https://htwk-leipzig.qucosa.de/api/qucosa%3A89699/attachment/ATT-0/
Fertigungssysteme für die individualisierte Produktion erfordern Arbeitsabläufe, die von einzelnen Objekten abhängig sind. Maschinelles Lernen (ML) bietet die Möglichkeit, verschiedene Objekte mit Hilfe eines neuronalen Netzes zu klassifizieren.
Externí odkaz:
https://htwk-leipzig.qucosa.de/id/qucosa%3A77635
https://htwk-leipzig.qucosa.de/api/qucosa%3A77635/attachment/ATT-0/
https://htwk-leipzig.qucosa.de/api/qucosa%3A77635/attachment/ATT-0/
Autor:
Ahyoune, S., Altenmueller, K., Antolin, I., Basso, S., Brun, P., Candon, F. R., Castel, J. F., Cebrian, S., Chouhan, D., Della Ceca, R., Cervera-Cortes, M., Chernov, V., Civitani, M. M., Cogollos, C., Costa, E., Cotroneo, V., Dafni, T., Derbin, A., Desch, K., Diaz-Martin, M. C., Diaz-Morcillo, A., Diez-Ibanez, D., Pardos, C. Diez, Dinter, M., Doebrich, B., Drachnev, I., Dudarev, A., Ezquerro, A., Fabiani, S., Ferrer-Ribas, E., Finelli, F., Fleck, I., Galan, J., Galanti, G., Galaverni, M., Garcia, J. A., Garcia-Barcelo, J. M., Gastaldo, L., Giannotti, M., Giganon, A., Goblin, C., Goyal, N., Gu, Y., Hagge, L., Helary, L., Hengstler, D., Heuchel, D., Hoof, S., Iglesias-Marzoa, R., Iguaz, F. J., Iniguez, C., Irastorza, I. G., Jakovcic, K., Kaefer, D., Kaminski, J., Karstensen, S., Law, M., Lindner, A., Loidl, M., Loiseau, C., Lopez-Alegre, G., Lozano-Guerrero, A., Lubsandorzhiev, B., Luzon, G., Manthos, I., Margalejo, C., Marin-Franch, A., Marques, J., Marutzky, F., Menneglier, C., Mentink, M., Mertens, S., Miralda-Escude, J., Mirallas, H., Muleri, F., Muratova, V., Navarro-Madrid, J. R., Navick, X. F., Nikolopoulos, K., Notari, A., Nozik, A., Obis, L., Ortiz-de-Solorzano, A., O'Shea, T., von Oy, J., Pareschi, G., Papaevangelou, T., Perez, K., Perez, O., Picatoste, E., Pivovaroff, M. J., Porron, J., Puyuelo, M. J., Quintana, A., Redondo, J., Reuther, D., Ringwald, A., Rodrigues, M., Rubini, A., Rueda-Teruel, S., Rueda-Teruel, F., Ruiz-Choliz, E., Ruz, J., Schaffran, J., Schiffer, T., Schmidt, S., Schneekloth, U., Schoenfeld, L., Schott, M., Segui, L., Singh, U. R., Soffitta, P., Spiga, D., Stern, M., Straniero, O., Tavecchio, F., Unzhakov, E., Ushakov, N. A., Vecchi, G., Vogel, J. K., Voronin, D. M., Ward, R., Weltman, A., Wiesinger, C., Wolf, R., Yanes-Diaz, A., Yu, Y.
BabyIAXO is the intermediate stage of the International Axion Observatory (IAXO) to be hosted at DESY. Its primary goal is the detection of solar axions following the axion helioscope technique. Axions are converted into photons in a large magnet tha
Externí odkaz:
http://arxiv.org/abs/2411.13915
Understanding the complex dynamics of high-dimensional, contingent, and strongly nonlinear economic data, often shaped by multiplicative processes, poses significant challenges for traditional regression methods as such methods offer limited capacity
Externí odkaz:
http://arxiv.org/abs/2410.19835
Autor:
Sorg, A. L., Schönfeld, V., Siedler, A., Hufnagel, M., Doenhardt, M., Diffloth, Natalie, Berner, Reinhard, Kries, R. v., Armann, J.
Purpose To investigate the relationship between the risk of pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS) in children and the predominance of different SARS-CoV-2 variants of concern (VOC) over time. Meth
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A90564
https://tud.qucosa.de/api/qucosa%3A90564/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A90564/attachment/ATT-0/
Autor:
Chen, Shengjia, Campanella, Gabriele, Elmas, Abdulkadir, Stock, Aryeh, Zeng, Jennifer, Polydorides, Alexandros D., Schoenfeld, Adam J., Huang, Kuan-lin, Houldsworth, Jane, Vanderbilt, Chad, Fuchs, Thomas J.
Recent advances in artificial intelligence (AI), in particular self-supervised learning of foundation models (FMs), are revolutionizing medical imaging and computational pathology (CPath). A constant challenge in the analysis of digital Whole Slide I
Externí odkaz:
http://arxiv.org/abs/2407.07841
Autor:
Campanella, Gabriele, Chen, Shengjia, Verma, Ruchika, Zeng, Jennifer, Stock, Aryeh, Croken, Matt, Veremis, Brandon, Elmas, Abdulkadir, Huang, Kuan-lin, Kwan, Ricky, Houldsworth, Jane, Schoenfeld, Adam J., Vanderbilt, Chad
The use of self-supervised learning (SSL) to train pathology foundation models has increased substantially in the past few years. Notably, several models trained on large quantities of clinical data have been made publicly available in recent months.
Externí odkaz:
http://arxiv.org/abs/2407.06508
Autor:
Schönfeld Andreas, Luderer Christiane
Publikováno v:
International Journal of Health Professions, Vol 6, Iss 1, Pp 103-115 (2019)
The academisation of the therapy professions occupational therapy, speech therapy and physiotherapy in Germany has created new challenging constellations. Tensions can be seen in the intraprofessional cooperation of professionally qualified employers
Externí odkaz:
https://doaj.org/article/22681cfb97074f8381497430bced119f
Autor:
Thielemann, Fabian, Siemund, Joachim, von Schoenfeld, Daniel, Wu, Wei, Weckesser, Pascal, Jachymski, Krzysztof, Walker, Thomas, Schaetz, Tobias
Revealing the quantum properties of matter requires a high degree of experimental control accompanied by a profound theoretical understanding. At ultracold temperatures, quantities that appear continuous in everyday life, such as the motional angular
Externí odkaz:
http://arxiv.org/abs/2406.13410