Zobrazeno 1 - 10
of 36 212
pro vyhledávání: '"Pauli, A"'
Autor:
Gómez-González, V. M. A., Oskinova, L. M., Hamann, W. -R., Todt, H., Pauli, D., Serantes, S. Reyero, Bernini-Peron, M., Sander, A. C., Ramachandran, V., Vink, J. S., Crowther, P. A., Berlanas, S. R., ud-Doula, A., Gormaz-Matamala, A. C., Kehrig, C., Kuiper, R., Leitherer, C., Mahy, L., McLeod, A. F., Mehner, A., Morrell, N., Shenar, T., Telford, O. G., van Loon, J. Th., Tramper, F., Wofford, A.
Massive stars lead the ionization and mechanical feedback within young star-forming regions. The Large Magellanic Cloud (LMC) is an ideal galaxy for studying individual massive stars and quantifying their feedback contribution to the environment. We
Externí odkaz:
http://arxiv.org/abs/2411.14149
Autor:
Backs, Frank, Brands, S. A., de Koter, A., Kaper, L., Vink, J. S., Puls, J., Sundqvist, J., Tramper, F., Sana, H., Bernini-Peron, M., Bestenlehner, J. M., Crowther, P. A., Hawcroft, C., Ignace, R., Kuiper, R., van Loon, J. Th., Mahy, L., Marcolino, W., Najarro, F., Oskinova, L. M., Pauli, D., Ramachandran, V., Sander, A. A. C., Verhamme, O.
Mass loss through a stellar wind is an important physical process that steers the evolution of massive stars and controls the properties of their end-of-life products, such as the supernova type and the mass of compact remnants. For an accurate mass
Externí odkaz:
http://arxiv.org/abs/2411.06884
We propose a novel layer-wise parameterization for convolutional neural networks (CNNs) that includes built-in robustness guarantees by enforcing a prescribed Lipschitz bound. Each layer in our parameterization is designed to satisfy a linear matrix
Externí odkaz:
http://arxiv.org/abs/2410.22258
This article investigates equivariant parametrized cellular cohomology, a cohomology theory introduced by Costenoble-Waner for spaces with an action by a compact Lie group $G$. The theory extends the $RO(G)$-graded cohomology of a $G$-space $B$ to a
Externí odkaz:
http://arxiv.org/abs/2410.13971
Autor:
Basso, Luca, Kehayias, Pauli, Henshaw, Jacob, Joshi, Gajadhar, Lilly, Michael P., Jordan, Matthew B., Mounce, Andrew M.
Non-invasive imaging of microwave (MW) magnetic fields with microscale lateral resolution is pivotal for various applications, such as MW technologies and integrated circuit failure analysis. Diamond nitrogen-vacancy (NV) center magnetometry has emer
Externí odkaz:
http://arxiv.org/abs/2409.16528
This paper introduces a novel model-free control strategy for a complex multi-stage gearbox electromechanical linear actuator (EMLA) system, driven by a permanent magnet synchronous motor (PMSM) with non-ideal ball screw characteristics. The proposed
Externí odkaz:
http://arxiv.org/abs/2409.12406
Autor:
Serantes, S. Reyero, Oskinova, L., Hamann, W. -R., Gómez-González, V. M., Todt, H., Pauli, D., Soria, R., Gies, D. R., Torrejón, J. M., Bulik, T., Ramachandran, V., Sander, A. A. C., Bozzo, E., Poutanen, J.
Ultra-luminous X-ray sources (ULXs) are high-mass X-ray binaries with an X-ray luminosity above $10^{39}$ erg s$^{-1}$. These ULXs can be powered by black holes that are more massive than $20M_\odot$, accreting in a standard regime, or lighter compac
Externí odkaz:
http://arxiv.org/abs/2409.12133
In-wheel drive (IWD) systems enhance the responsiveness, traction, and maintenance efficiency of vehicles by enabling each wheel to operate independently. This paper proposes a novel robust torque-observed valve-based control (RTOVC) framework to add
Externí odkaz:
http://arxiv.org/abs/2409.11823
Autor:
Björkdahl, Liv, Pauli, Oskar, Östman, Johan, Ceccobello, Chiara, Lundell, Sara, Kjellberg, Magnus
Data in the healthcare domain arise from a variety of sources and modalities, such as x-ray images, continuous measurements, and clinical notes. Medical practitioners integrate these diverse data types daily to make informed and accurate decisions. W
Externí odkaz:
http://arxiv.org/abs/2408.06943
This paper addresses navigation in crowded environments by integrating goal-conditioned generative models with Sampling-based Model Predictive Control (SMPC). We introduce goal-conditioned autoregressive models to generate crowd behaviors, capturing
Externí odkaz:
http://arxiv.org/abs/2408.03807