Zobrazeno 1 - 10
of 24 462
pro vyhledávání: '"Freyberg, A."'
To celebrate the 270th anniversary of the De Gruyter publishing house, the company is providing permanent open access to 270 selected treasures from the De Gruyter Book Archive. Titles will be made available to anyone, anywhere at any time that might
Autor:
Christians, Leonie
Publikováno v:
TextilWirtschaft Online. 12/11/2023, p1-1. 1p.
Autor:
Ross, Ken1
Publikováno v:
New Zealand International Review. Mar/Apr2021, Vol. 46 Issue 2, p16-19. 4p.
Autor:
McGibbon, Ian1
Publikováno v:
New Zealand International Review. Jan/Feb2021, Vol. 46 Issue 1, p21-24. 4p.
Autor:
Eberle, Vincent, Guardiani, Matteo, Westerkamp, Margret, Frank, Philipp, Freyberg, Michael, Salvato, Mara, Enßlin, Torsten
The EDR and eRASS1 data have already revealed a remarkable number of undiscovered X-ray sources. Using Bayesian inference and generative modeling techniques for X-ray imaging, we aim to increase the sensitivity and scientific value of these observati
Externí odkaz:
http://arxiv.org/abs/2410.14599
Autor:
Nowicki, Jörg
Publikováno v:
TextilWirtschaft Online. 6/10/2022, p1-1. 1p.
Autor:
Islam, Md Saiful, Adnan, Tariq, Freyberg, Jan, Lee, Sangwu, Abdelkader, Abdelrahman, Pawlik, Meghan, Schwartz, Cathe, Jaffe, Karen, Schneider, Ruth B., Dorsey, E Ray, Hoque, Ehsan
Limited access to neurological care leads to missed diagnoses of Parkinson's disease (PD), leaving many individuals unidentified and untreated. We trained a novel neural network-based fusion architecture to detect Parkinson's disease (PD) by analyzin
Externí odkaz:
http://arxiv.org/abs/2406.14856
Autor:
Zhang, X., Bulbul, E., Malavasi, N., Ghirardini, V., Comparat, J., Kluge, M., Liu, A., Merloni, A., Zhang, Y., Bahar, Y. E., Artis, E., Sanders, J. S., Garrel, C., Balzer, F., Brüggen, M., Freyberg, M., Gatuzz, E., Grandis, S., Krippendorf, S., Nandra, K., Ponti, G., Ramos-Ceja, M., Predehl, P., Reiprich, T. H., Veronica, A., Yeung, M. C. H., Zelmer, S.
The properties of the warm-hot intergalactic medium (WHIM) in cosmic filaments are among the least quantified units in modern astrophysics. The Spectrum Roentgen Gamma/eROSITA All Sky Survey ((SRG/eRASS) provides a unique opportunity to study the X-r
Externí odkaz:
http://arxiv.org/abs/2406.00105
Autor:
Liu, Teng, Merloni, Andrea, Sanders, Jeremy, Ponti, Gabriele, Strong, Andrew, Yeung, Michael, Locatelli, Nicola, Predehl, Peter, Zheng, Xueying, Sasaki, Manami, Freyberg, Michael, Dennerl, Konrad, Becker, Werner, Nandra, Kirpal, Mayer, Martin, Buchner, Johannes
There are two contradictory views of the eROSITA bubbles: either a 10 kpc-scale pair of giant bubbles blown by the Galactic center (GC), or a 100 pc-scale local structure coincidentally located in the direction of GC. A key element of this controvers
Externí odkaz:
http://arxiv.org/abs/2405.04264
Autor:
Saab, Khaled, Tu, Tao, Weng, Wei-Hung, Tanno, Ryutaro, Stutz, David, Wulczyn, Ellery, Zhang, Fan, Strother, Tim, Park, Chunjong, Vedadi, Elahe, Chaves, Juanma Zambrano, Hu, Szu-Yeu, Schaekermann, Mike, Kamath, Aishwarya, Cheng, Yong, Barrett, David G. T., Cheung, Cathy, Mustafa, Basil, Palepu, Anil, McDuff, Daniel, Hou, Le, Golany, Tomer, Liu, Luyang, Alayrac, Jean-baptiste, Houlsby, Neil, Tomasev, Nenad, Freyberg, Jan, Lau, Charles, Kemp, Jonas, Lai, Jeremy, Azizi, Shekoofeh, Kanada, Kimberly, Man, SiWai, Kulkarni, Kavita, Sun, Ruoxi, Shakeri, Siamak, He, Luheng, Caine, Ben, Webson, Albert, Latysheva, Natasha, Johnson, Melvin, Mansfield, Philip, Lu, Jian, Rivlin, Ehud, Anderson, Jesper, Green, Bradley, Wong, Renee, Krause, Jonathan, Shlens, Jonathon, Dominowska, Ewa, Eslami, S. M. Ali, Chou, Katherine, Cui, Claire, Vinyals, Oriol, Kavukcuoglu, Koray, Manyika, James, Dean, Jeff, Hassabis, Demis, Matias, Yossi, Webster, Dale, Barral, Joelle, Corrado, Greg, Semturs, Christopher, Mahdavi, S. Sara, Gottweis, Juraj, Karthikesalingam, Alan, Natarajan, Vivek
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of complex multimodal data. Gemini models, with strong general capabilit
Externí odkaz:
http://arxiv.org/abs/2404.18416