Zobrazeno 1 - 10
of 1 377
pro vyhledávání: '"P, Tebaldi"'
Autor:
Holmes, Andrew, Jensen, Matt, Coffland, Sarah, Shen, Hidemi Mitani, Sizemore, Logan, Bassetti, Seth, Nieva, Brenna, Tebaldi, Claudia, Snyder, Abigail, Hutchinson, Brian
The Global Change Analysis Model (GCAM) simulates complex interactions between the coupled Earth and human systems, providing valuable insights into the co-evolution of land, water, and energy sectors under different future scenarios. Understanding t
Externí odkaz:
http://arxiv.org/abs/2412.08850
Autor:
Tebaldi, Davide, Zanasi, Roberto
The applications of the partial fraction decomposition in control and systems engineering are several. In this letter, we propose a new interpretation of residues in the partial fraction decomposition, which is employed for the following purposes: to
Externí odkaz:
http://arxiv.org/abs/2410.16518
In robotics, Learning from Demonstration (LfD) aims to transfer skills to robots by using multiple demonstrations of the same task. These demonstrations are recorded and processed to extract a consistent skill representation. This process typically r
Externí odkaz:
http://arxiv.org/abs/2410.13322
Autor:
Tebaldi, Davide, Zanasi, Roberto
Modeling physical systems is an essential skill for a control engineer, since it enables to achieve a deep understanding of their dynamic behavior and, consequently, the development of effective control strategies. The first part of this article prov
Externí odkaz:
http://arxiv.org/abs/2409.16948
Earth System Models (ESMs) are essential for understanding the interaction between human activities and the Earth's climate. However, the computational demands of ESMs often limit the number of simulations that can be run, hindering the robust analys
Externí odkaz:
http://arxiv.org/abs/2409.11601
Autor:
Tebaldi, Davide, Zanasi, Roberto
Publikováno v:
Control Engineering Practice, vol 151, Oct. 2024
Electrical power conversions are common in a large variety of engineering applications. With reference to AC/DC and DC/AC power conversions, a strong research interest resides in multilevel converters, thanks to the many advantages they provide over
Externí odkaz:
http://arxiv.org/abs/2405.06469
Earth system models (ESMs) are the principal tools used in climate science to generate future climate projections under various atmospheric emissions scenarios on a global or regional scale. Generative deep learning approaches are suitable for emulat
Externí odkaz:
http://arxiv.org/abs/2404.08797
Whenever a robotic task needs to be defined and adapted based on a reference motion, Dynamic Movement Primitives (DMP) represent a standard and efficient method for encoding it. The nominal trajectory is typically obtained through a Programming by De
Externí odkaz:
http://arxiv.org/abs/2401.08238
Autor:
Ravindra Gudneppanavar, Caterina Di Pietro, Hasan H Öz, Ping-Xia Zhang, Ee-Chun Cheng, Pamela H. Huang, Toma Tebaldi, Giulia Biancon, Stephanie Halene, Adam D. Hoppe, Catherine Kim, Anjelica L. Gonzalez, Diane S. Krause, Marie E. Egan, Neetu Gupta, Thomas S. Murray, Emanuela M. Bruscia
Publikováno v:
Cell Death and Disease, Vol 15, Iss 11, Pp 1-17 (2024)
Abstract Ezrin, an actin-binding protein, orchestrates the organization of the cortical cytoskeleton and plasma membrane during cell migration, adhesion, and proliferation. Its role in monocytes/macrophages (MΦs) is less understood. Here, we used a
Externí odkaz:
https://doaj.org/article/a14808cb3fb24df6a2ce87b009fee579
Autor:
B. M. Sanderson, B. B. B. Booth, J. Dunne, V. Eyring, R. A. Fisher, P. Friedlingstein, M. J. Gidden, T. Hajima, C. D. Jones, C. G. Jones, A. King, C. D. Koven, D. M. Lawrence, J. Lowe, N. Mengis, G. P. Peters, J. Rogelj, C. Smith, A. C. Snyder, I. R. Simpson, A. L. S. Swann, C. Tebaldi, T. Ilyina, C.-F. Schleussner, R. Séférian, B. H. Samset, D. van Vuuren, S. Zaehle
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 8141-8172 (2024)
Previous phases of the Coupled Model Intercomparison Project (CMIP) have primarily focused on simulations driven by atmospheric concentrations of greenhouse gases (GHGs), for both idealized model experiments and climate projections of different emiss
Externí odkaz:
https://doaj.org/article/17490fbda0b743d99824e7d3ac5584c8