Zobrazeno 1 - 10
of 5 828
pro vyhledávání: '"Roehrig, A."'
Autor:
Röhrig, Jona
In this note, the idea of finite dimensional $L^p$ spaces is transferred to Lorentzian length spaces to provide an example that is locally nowhere Minkowskian. Looking at the sectional curvature bounds of this example leads to the more general statem
Externí odkaz:
http://arxiv.org/abs/2407.19595
Autor:
Basermann, Achim, Epping, Michael, Fauseweh, Benedikt, Felderer, Michael, Lobe, Elisabeth, Röhrig-Zöllner, Melven, Schmiedinghoff, Gary, Schuhmacher, Peter K., Setyawati, Yoshinta, Weinert, Alexander
The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and primed for systematic investigation. This chapter takes an important step
Externí odkaz:
http://arxiv.org/abs/2405.13244
In order to achieve greenhouse gas neutrality by 2045, the Climate Protection Act sets emission reduction targets for the years 2030 and 2040, as well as decreasing annual emission volumes for some sectors, including the building sector. Measures to
Externí odkaz:
http://arxiv.org/abs/2404.14371
In an era where artificial intelligence (AI) intertwines with medical research, the delineation of truth becomes increasingly complex. This study ostensibly examines a purported novel SARS-CoV-2 variant, dubbed the Omega variant, showcasing 31 unique
Externí odkaz:
http://arxiv.org/abs/2403.09674
Autor:
Raufeisen, Johannes, Xie, Kunpeng, Hörst, Fabian, Braunschweig, Till, Li, Jianning, Kleesiek, Jens, Röhrig, Rainer, Egger, Jan, Leibe, Bastian, Hölzle, Frank, Hermans, Alexander, Puladi, Behrus
Background: Cell segmentation in bright-field histological slides is a crucial topic in medical image analysis. Having access to accurate segmentation allows researchers to examine the relationship between cellular morphology and clinical observation
Externí odkaz:
http://arxiv.org/abs/2401.15638
Tensor networks are a class of algorithms aimed at reducing the computational complexity of high-dimensional problems. They are used in an increasing number of applications, from quantum simulations to machine learning. Exploiting data parallelism in
Externí odkaz:
http://arxiv.org/abs/2312.08006
An essential facet of achieving climate neutrality by 2045 is the decarbonization of municipal energy systems. To accomplish this, it is necessary to establish implementation concepts that detail the timing, location, and specific measures required t
Externí odkaz:
http://arxiv.org/abs/2311.11576
Computer model calibration involves using partial and imperfect observations of the real world to learn which values of a model's input parameters lead to outputs that are consistent with real-world observations. When calibrating models with high-dim
Externí odkaz:
http://arxiv.org/abs/2310.18875
Autor:
C. G. Jones, F. Adloff, B. B. B. Booth, P. M. Cox, V. Eyring, P. Friedlingstein, K. Frieler, H. T. Hewitt, H. A. Jeffery, S. Joussaume, T. Koenigk, B. N. Lawrence, E. O'Rourke, M. J. Roberts, B. M. Sanderson, R. Séférian, S. Somot, P. L. Vidale, D. van Vuuren, M. Acosta, M. Bentsen, R. Bernardello, R. Betts, E. Blockley, J. Boé, T. Bracegirdle, P. Braconnot, V. Brovkin, C. Buontempo, F. Doblas-Reyes, M. Donat, I. Epicoco, P. Falloon, S. Fiore, T. Frölicher, N. S. Fučkar, M. J. Gidden, H. F. Goessling, R. G. Graversen, S. Gualdi, J. M. Gutiérrez, T. Ilyina, D. Jacob, C. D. Jones, M. Juckes, E. Kendon, E. Kjellström, R. Knutti, J. Lowe, M. Mizielinski, P. Nassisi, M. Obersteiner, P. Regnier, R. Roehrig, D. Salas y Mélia, C.-F. Schleussner, M. Schulz, E. Scoccimarro, L. Terray, H. Thiemann, R. A. Wood, S. Yang, S. Zaehle
Publikováno v:
Earth System Dynamics, Vol 15, Pp 1319-1351 (2024)
We review how the international modelling community, encompassing integrated assessment models, global and regional Earth system and climate models, and impact models, has worked together over the past few decades to advance understanding of Earth sy
Externí odkaz:
https://doaj.org/article/d5d160b4640c42979c4418091c262915
Autor:
Li, Jianning, Zhou, Zongwei, Yang, Jiancheng, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Qu, Chongyu, Zhang, Tiezheng, Chen, Xiaoxi, Li, Wenxuan, Wodzinski, Marek, Friedrich, Paul, Xie, Kangxian, Jin, Yuan, Ambigapathy, Narmada, Nasca, Enrico, Solak, Naida, Melito, Gian Marco, Vu, Viet Duc, Memon, Afaque R., Schlachta, Christopher, De Ribaupierre, Sandrine, Patel, Rajnikant, Eagleson, Roy, Chen, Xiaojun, Mächler, Heinrich, Kirschke, Jan Stefan, de la Rosa, Ezequiel, Christ, Patrick Ferdinand, Li, Hongwei Bran, Ellis, David G., Aizenberg, Michele R., Gatidis, Sergios, Küstner, Thomas, Shusharina, Nadya, Heller, Nicholas, Andrearczyk, Vincent, Depeursinge, Adrien, Hatt, Mathieu, Sekuboyina, Anjany, Löffler, Maximilian, Liebl, Hans, Dorent, Reuben, Vercauteren, Tom, Shapey, Jonathan, Kujawa, Aaron, Cornelissen, Stefan, Langenhuizen, Patrick, Ben-Hamadou, Achraf, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Bolelli, Federico, Grana, Costantino, Lumetti, Luca, Salehi, Hamidreza, Ma, Jun, Zhang, Yao, Gharleghi, Ramtin, Beier, Susann, Sowmya, Arcot, Garza-Villarreal, Eduardo A., Balducci, Thania, Angeles-Valdez, Diego, Souza, Roberto, Rittner, Leticia, Frayne, Richard, Ji, Yuanfeng, Ferrari, Vincenzo, Chatterjee, Soumick, Dubost, Florian, Schreiber, Stefanie, Mattern, Hendrik, Speck, Oliver, Haehn, Daniel, John, Christoph, Nürnberger, Andreas, Pedrosa, João, Ferreira, Carlos, Aresta, Guilherme, Cunha, António, Campilho, Aurélio, Suter, Yannick, Garcia, Jose, Lalande, Alain, Vandenbossche, Vicky, Van Oevelen, Aline, Duquesne, Kate, Mekhzoum, Hamza, Vandemeulebroucke, Jef, Audenaert, Emmanuel, Krebs, Claudia, van Leeuwen, Timo, Vereecke, Evie, Heidemeyer, Hauke, Röhrig, Rainer, Hölzle, Frank, Badeli, Vahid, Krieger, Kathrin, Gunzer, Matthias, Chen, Jianxu, van Meegdenburg, Timo, Dada, Amin, Balzer, Miriam, Fragemann, Jana, Jonske, Frederic, Rempe, Moritz, Malorodov, Stanislav, Bahnsen, Fin H., Seibold, Constantin, Jaus, Alexander, Marinov, Zdravko, Jaeger, Paul F., Stiefelhagen, Rainer, Santos, Ana Sofia, Lindo, Mariana, Ferreira, André, Alves, Victor, Kamp, Michael, Abourayya, Amr, Nensa, Felix, Hörst, Fabian, Brehmer, Alexander, Heine, Lukas, Hanusrichter, Yannik, Weßling, Martin, Dudda, Marcel, Podleska, Lars E., Fink, Matthias A., Keyl, Julius, Tserpes, Konstantinos, Kim, Moon-Sung, Elhabian, Shireen, Lamecker, Hans, Zukić, Dženan, Paniagua, Beatriz, Wachinger, Christian, Urschler, Martin, Duong, Luc, Wasserthal, Jakob, Hoyer, Peter F., Basu, Oliver, Maal, Thomas, Witjes, Max J. H., Schiele, Gregor, Chang, Ti-chiun, Ahmadi, Seyed-Ahmad, Luo, Ping, Menze, Bjoern, Reyes, Mauricio, Deserno, Thomas M., Davatzikos, Christos, Puladi, Behrus, Fua, Pascal, Yuille, Alan L., Kleesiek, Jens, Egger, Jan
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit s
Externí odkaz:
http://arxiv.org/abs/2308.16139