Zobrazeno 1 - 10
of 18 080
pro vyhledávání: '"NOBILE, A."'
Autor:
Iuele, Helena, Forciniti, Stefania, Onesto, Valentina, Colella, Francesco, Siciliano, Anna Chiara, Chandra, Anil, Nobile, Concetta, Gigli, Giuseppe, del Mercato, Loretta L.
Publikováno v:
ACS Applied Materials & Interfaces, 2024, 155071
Fluorescence imaging allows for non-invasively visualizing and measuring key physiological parameters like pH and dissolved oxygen. In our work, we created two ratiometric fluorescent microsensors designed for accurately tracking dissolved oxygen lev
Externí odkaz:
http://arxiv.org/abs/2410.17797
Autor:
Kari, Sadra Rahimi, Tamura, Marcus, Guo, Zhimu, Huang, Yi-Siou, Sun, Hongyi, Lian, Chuanyu, Nobile, Nicholas, Erickson, John, Moridsadat, Maryam, Ocampo, Carlos A. Ríos, Shastri, Bhavin J, Youngblood, Nathan
The integration of computing with memory is essential for distributed, massively parallel, and adaptive architectures such as neural networks in artificial intelligence (AI). Accelerating AI can be achieved through photonic computing, but it requires
Externí odkaz:
http://arxiv.org/abs/2409.13954
Autor:
Nobile, Fabio, Vanzan, Tommaso
This manuscript presents a framework for using multilevel quadrature formulae to compute the solution of optimal control problems constrained by random partial differential equations. Our approach consists in solving a sequence of optimal control pro
Externí odkaz:
http://arxiv.org/abs/2407.06678
Autor:
Nobile, Fabio, Trindade, Thomas Trigo
We propose a novel framework of generalised Petrov-Galerkin Dynamical Low Rank Approximations (DLR) in the context of random PDEs. It builds on the standard Dynamical Low Rank Approximations in their Dynamically Orthogonal formulation. It allows to s
Externí odkaz:
http://arxiv.org/abs/2407.01404
Autor:
Nobile, A.
The Nash blowing-up (or modification) of an algebraic variety $X$ is a canonical process that produces a proper, birational morphism $\pi : X' \to X$ of varieties. It is expected that the singularities of $X'$ will be better than those of $X$. In the
Externí odkaz:
http://arxiv.org/abs/2404.09102
Autor:
Nobile, Fabio, Trindade, Thomas Trigo
We perform an error analysis of a fully discretised Streamline Upwind Petrov Galerkin Dynamical Low Rank (SUPG-DLR) method for random time-dependent advection-dominated problems. The time integration scheme has a splitting-like nature, allowing for p
Externí odkaz:
http://arxiv.org/abs/2402.03586
Accurate and reliable electricity load forecasts are becoming increasingly important as the share of intermittent resources in the system increases. Distribution System Operators (DSOs) are called to accurately forecast their production and consumpti
Externí odkaz:
http://arxiv.org/abs/2310.03657
Autor:
Milou R. Michael, Luuk Wieske, Jeffrey A. Allen, Michael P. Lunn, Kathrin Doppler, Cheng-Yin Tan, Haruki Koike, Lars K. Markvardsen, Mahima Kapoor, Sung-Tsang Hsieh, Eduardo Nobile-Orazio, Bart C. Jacobs, Yusuf A. Rajabally, Ivana Basta, Paolo Ripellino, Luis Querol, Filip Eftimov, on behalf of the INCbase Consortium
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background INCbase is an international, multicenter prospective observational study using a customizable web-based modular registry to study the clinical, biological and electrophysiological variation and boundaries of chronic inflammatory d
Externí odkaz:
https://doaj.org/article/b9782e9aad8c4a3b931a9b41ad79134b
Autor:
Veronica Mandelli, Isotta Landi, Silvia Busti Ceccarelli, Massimo Molteni, Maria Nobile, Alessandro D’Ausilio, Luciano Fadiga, Alessandro Crippa, Michael V. Lombardo
Publikováno v:
Molecular Autism, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Background Motor difficulties are common in many, but not all, autistic individuals. These difficulties can co-occur with other problems, such as delays in language, intellectual, and adaptive functioning. Biological mechanisms underpinning
Externí odkaz:
https://doaj.org/article/2235161e288340c987ccaaad00a9f287
Publikováno v:
Mathematics of Computation (2024)
In this paper, we set the mathematical foundations of the Dynamical Low-Rank Approximation (DLRA) method for stochastic differential equations (SDEs). DLRA aims at approximating the solution as a linear combination of a small number of basis vectors
Externí odkaz:
http://arxiv.org/abs/2308.11581