Zobrazeno 1 - 10
of 21 488
pro vyhledávání: '"A, Piccoli"'
Autor:
Ji, Junyi, Gloudemans, Derek, Wang, Yanbing, Zachár, Gergely, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Analyzing stop-and-go waves at the scale of miles and hours of data is an emerging challenge in traffic research. In the past, datasets were of limited scale and could be easily analyzed by hand or with rudimentary methods to identify a very limited
Externí odkaz:
http://arxiv.org/abs/2409.00326
Autor:
Faeyrman, Lior, Molinero, Eduardo B., Weiss, Roni, Narovlansky, Vladimir, Kneller, Omer, Arusi-Parpar, Talya, Bruner, Barry D., Yan, Binghai, Ivanov, Misha, Smirnova, Olga, Jimenez-Galan, Alvaro, Piccoli, Riccardo, Silva, Rui E. F., Dudovich, Nirit, Uzan-Narovlansky, Ayelet J.
In quantum mechanics, a quantum wavepacket may acquire a geometrical phase as it evolves along a cyclic trajectory in parameter space. In condensed matter systems, the Berry phase plays a crucial role in fundamental phenomena such as the Hall effect,
Externí odkaz:
http://arxiv.org/abs/2408.03105
Autor:
Ji, Junyi, Richardson, Alex, Gloudemans, Derek, Zachár, Gergely, Nice, Matthew, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Stop-and-go waves are a fundamental phenomenon in freeway traffic flow, contributing to inefficiencies, crashes, and emissions. Recent advancements in high-fidelity sensor technologies have improved the ability to capture detailed traffic dynamics, y
Externí odkaz:
http://arxiv.org/abs/2408.00941
The current over-provisioned heterogeneous multi-cores require effective run-time optimization strategies, and the run-time power monitoring subsystem is paramount for their success. Several state-of-the-art methodologies address the design of a run-
Externí odkaz:
http://arxiv.org/abs/2407.21367
Autor:
Garcia, O. Boente, Bregliozzi, G., Calegari, D., Carassiti, V., Ciullo, G., Coco, V., Collins, P., Pinto, P. Costa, De Angelis, C., Di Nezza, P., Dumps, R., Ferro-Luzzi, M., Fleuret, F., Graziani, G., Kotriakhova, S., Lenisa, P., Lu, Q., Lucarelli, C., Maurice, E., Mariani, S., Mattioli, K., Milovanovic, M., Pappalardo, L. L., Parragh, D. M., Piccoli, A., Sainvitu, P., Salvant, B., Sanders, F., Santimaria, M., Sestak, J., Squerzanti, S., Steffens, E., Tagliente, G., Vollenberg, W., Vollinger, C.
Publikováno v:
Physical Review ACCELERATORS AND BEAMS 27, 111001 (2024)
The recently installed internal gas target at LHCb presents exceptional opportunities for an extensive physics program for heavy-ion, hadron, spin, and astroparticle physics. A storage cell placed in the LHC primary vacuum, an advanced Gas Feed Syste
Externí odkaz:
http://arxiv.org/abs/2407.14200
Multi-Task Reinforcement Learning aims at developing agents that are able to continually evolve and adapt to new scenarios. However, this goal is challenging to achieve due to the phenomenon of catastrophic forgetting and the high demand of computati
Externí odkaz:
http://arxiv.org/abs/2406.09835
Autor:
Goatin, Paola, Piccoli, Benedetto
We propose a new model for multi-lane traffic with moving bottlenecks, e.g., autonomous vehicles (AV). It consists of a system of balance laws for traffic in each lane, coupled in the source terms for lane changing, and fully coupled to ODEs for the
Externí odkaz:
http://arxiv.org/abs/2404.17192
Autor:
Ameli, Mostafa, Mcquade, Sean, Lee, Jonathan W., Bunting, Matthew, Nice, Matthew, Wang, Han, Barbour, William, Weightman, Ryan, Denaro, Chris, Delorenzo, Ryan, Hornstein, Sharon, Davis, Jon F., Timsit, Dan, Wagner, Riley, Xu, Rita, Mahmood, Malaika, Mahmood, Mikail, Monache, Maria Laura Delle, Seibold, Benjamin, Work, Daniel B., Sprinkle, Jonathan, Piccoli, Benedetto, Bayen, Alexandre M.
Previous controlled experiments on single-lane ring roads have shown that a single partially autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the question of how these findings can be generalized to field operati
Externí odkaz:
http://arxiv.org/abs/2404.15533
Continual Learning (CL) focuses on maximizing the predictive performance of a model across a non-stationary stream of data. Unfortunately, CL models tend to forget previous knowledge, thus often underperforming when compared with an offline model tra
Externí odkaz:
http://arxiv.org/abs/2404.07817
Autor:
Piccoli, Riccardo, Bardellini, Marco, Vovla, Stavroula, Oberti, Linda, Abedin, Kamal A. A., Ciriolo, Anna G., Vázquez, Rebeca Martínez, Osellame, Roberto, Poletto, Luca, Frassetto, Fabio, Faccialá, Davide, Devetta, Michele, Vozzi, Caterina, Stagira, Salvatore
Structured light has gained significant attention in recent years, especially in the generation and application of vector beams. These beams, characterized by a spatially varying polarization state, are a powerful tool to enhance our capacity to cont
Externí odkaz:
http://arxiv.org/abs/2403.11006