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pro vyhledávání: '"Pucci A"'
Autor:
Venditti Riccardo, Marti Flavio, Latina Roberto, Mitello Lucia, Romanelli Antonio, Pucci Antonello, Mauro Lucia, Campagna Giuseppe, Marucci Anna Rita
Publikováno v:
NSC Nursing, Vol 2, Iss 2, Pp 18-35 (2023)
Introduction: To date, Emergency Department overcrowding represents one of the most important problems regarding the organisation of emergency healthcare. See and Treat was devised in England around the 1980s to provide an effective solution to the o
Externí odkaz:
https://doaj.org/article/6f2657741d774c6bbb21970b9d82ff75
Autor:
Lapucci, Matteo, Pucci, Davide
In this work, we address unconstrained finite-sum optimization problems, with particular focus on instances originating in large scale deep learning scenarios. Our main interest lies in the exploration of the relationship between recent line search a
Externí odkaz:
http://arxiv.org/abs/2411.07102
This letter investigates target position estimation in integrated sensing and communications (ISAC) networks composed of multiple cooperating monostatic base stations (BSs). Each BS employs a MIMO-orthogonal time-frequency space (OTFS) scheme, enabli
Externí odkaz:
http://arxiv.org/abs/2411.05187
In this paper, we study the existence of normalized solutions for the following $(2, q)$-Laplacian equation \begin{equation*}\label{Eq-Equation1} \left\{\begin{array}{l} -\Delta u-\Delta_q u+\lambda u=f(u) \quad x \in \mathbb{R}^N , \\ \int_{\mathbb{
Externí odkaz:
http://arxiv.org/abs/2410.15066
Autor:
Sorrentino, Ines, Romualdi, Giulio, Bergonti, Fabio, ĽErario, Giuseppe, Traversaro, Silvio, Pucci, Daniele
This paper presents a scalable method for friction identification in robots equipped with electric motors and high-ratio harmonic drives, utilizing Physics-Informed Neural Networks (PINN). This approach eliminates the need for dedicated setups and jo
Externí odkaz:
http://arxiv.org/abs/2410.12685
Autor:
Vanteddu, Punith Reddy, Nava, Gabriele, Bergonti, Fabio, L'Erario, Giuseppe, Paolino, Antonello, Pucci, Daniele
Co-design optimization strategies usually rely on simplified robot models extracted from CAD. While these models are useful for optimizing geometrical and inertial parameters for robot control, they might overlook important details essential for prot
Externí odkaz:
http://arxiv.org/abs/2410.07963
Autor:
Romualdi, Giulio, Viceconte, Paolo Maria, Moretti, Lorenzo, Sorrentino, Ines, Dafarra, Stefano, Traversaro, Silvio, Pucci, Daniele
This paper presents a three-layered architecture that enables stylistic locomotion with online contact location adjustment. Our method combines an autoregressive Deep Neural Network (DNN) acting as a trajectory generation layer with a model-based tra
Externí odkaz:
http://arxiv.org/abs/2410.07849
Two-dimensional particle-in-cell (PIC) simulations explore the collisionless tearing instability developing in a Harris equilibrium configuration in a pair (electron-positron) plasma, with no guide field, for a range of parameters from non-relativist
Externí odkaz:
http://arxiv.org/abs/2410.05619
Autor:
Sartore, Carlotta, Rando, Marco, Romualdi, Giulio, Molinari, Cesare, Rosasco, Lorenzo, Pucci, Daniele
Developing sophisticated control architectures has endowed robots, particularly humanoid robots, with numerous capabilities. However, tuning these architectures remains a challenging and time-consuming task that requires expert intervention. In this
Externí odkaz:
http://arxiv.org/abs/2409.18649
Autor:
Behar, E., Pucci, F., Wedlund, C. Simon, Henri, P., Ballerini, G., Preisser, L., Califano, F.
Over the past decades, near-Earth spacecraft observations have provided insights into the physics of the bow shock, suggesting that solar wind intrinsic turbulence influences the bow shock dynamics. On the other hand, theoretical studies, based on gl
Externí odkaz:
http://arxiv.org/abs/2409.17942