Zobrazeno 1 - 10
of 47 543
pro vyhledávání: '"SACCO A"'
The distinctive feature of a polynomial parametric speed let polynomial Pythagorean-hodograph (PH) curves be attractive for the design of accurate and efficient application algorithms. We propose a robust path following scheme for the construction of
Externí odkaz:
http://arxiv.org/abs/2412.15693
The Physical Internet (PI) paradigm, which has gained attention in research and academia in recent years, leverages advanced logistics and interconnected networks to revolutionize the way goods are transported and delivered, thereby enhancing efficie
Externí odkaz:
http://arxiv.org/abs/2412.14658
Autor:
Protani, Andrea, Giusti, Lorenzo, Aillet, Albert Sund, Iacovelli, Chiara, Reale, Giuseppe, Sacco, Simona, Manganotti, Paolo, Marinelli, Lucio, Santos, Diogo Reis, Brutti, Pierpaolo, Caliandro, Pietro, Serio, Luigi
Machine learning (ML) has the potential to become an essential tool in supporting clinical decision-making processes, offering enhanced diagnostic capabilities and personalized treatment plans. However, outsourcing medical records to train ML models
Externí odkaz:
http://arxiv.org/abs/2411.02286
This work presents a numerical model for the simulation of potential flow past three dimensional lifting surfaces. The solver is based on the collocation Boundary Element Method, combined with Galerkin variational formulation of the nonlinear Kutta c
Externí odkaz:
http://arxiv.org/abs/2410.10529
Autor:
Candebat, Nils, Sacco, Giuseppe Germano, Magrini, Laura, Belfiore, Francesco, Van-der-Swaelmen, Mathieu, Zibetti, Stefano
Publikováno v:
A&A 692, A228 (2024)
Context: New spectroscopic surveys will increase the number of astronomical objects requiring characterization by over tenfold.. Machine learning tools are required to address this data deluge in a fast and accurate fashion. Most machine learning alg
Externí odkaz:
http://arxiv.org/abs/2409.10621
Autor:
Vadher, Pratik, Skrivervik, Anja K., Zeng, Qihang, Sauleau, Ronan, Ho, John S., Sacco, Giulia, Nikolayev, Denys
Wearable on-body millimeter-wave (mmWave) radars can provide obstacle detection and guidance for visually impaired people. However, their everyday performance is hindered by the rigid form factor and limited scanning range. In this article, we propos
Externí odkaz:
http://arxiv.org/abs/2407.13644
Autor:
Van der Swaelmen, M., Vazquez, C. Viscasillas, Magrini, L., Recio-Blanco, A., Palicio, P. A., Worley, C., Vallenari, A., Spina, L., François, P., Tautvaišiene, G., Sacco, G. G., Randich, S., de Laverny, P.
Publikováno v:
A&A 690, A276 (2024)
(abridged) The third data release of Gaia, has provided stellar parameters, metallicity [M/H], [{\alpha}/Fe], individual abundances, broadening parameter from its RVS spectra for about 5.6 million objects thanks to the GSP-Spec module. The catalogue
Externí odkaz:
http://arxiv.org/abs/2407.04204
Autor:
Menchiari, Stefano, Morlino, Giovanni, Amato, Elena, Bucciantini, Niccolò, Peron, Giada, Sacco, Germano
Context: Young massive stellar clusters (YMSCs) have emerged as potential $\gamma$-ray sources, after the recent association of a dozen YMSCs with extended $\gamma$-ray emission. The large size of the detected halos, comparable to that of the wind-bl
Externí odkaz:
http://arxiv.org/abs/2406.04087
Autor:
Aouedi, Ons, Vu, Thai-Hoc, Sacco, Alessio, Nguyen, Dinh C., Piamrat, Kandaraj, Marchetto, Guido, Pham, Quoc-Viet
The rapid advances in the Internet of Things (IoT) have promoted a revolution in communication technology and offered various customer services. Artificial intelligence (AI) techniques have been exploited to facilitate IoT operations and maximize the
Externí odkaz:
http://arxiv.org/abs/2406.03820
Publikováno v:
JHEP 10 (2024), 232
Fracton phases of matter constitute an interesting point of contact between condensed matter and high-energy physics. The limited mobility property of fracton quasiparticles finds applications in many different contexts, including quantum information
Externí odkaz:
http://arxiv.org/abs/2405.19446