Zobrazeno 1 - 10
of 4 655
pro vyhledávání: '"P, Berto"'
Many processes in microfluidics and biology are driven or affected by viscosity. While several methods are able to measure this parameter globally, very few can provide high resolution viscosity images. Optimizing the locality of viscosity measuremen
Externí odkaz:
http://arxiv.org/abs/2412.12099
Single-shot hyperspectral wavefront sensing is essential for applications like spatio-spectral coupling metrology in high power laser or fast material dispersion imaging. Under broadband illumination, traditional wavefront sensors assume an achromati
Externí odkaz:
http://arxiv.org/abs/2410.19097
Autor:
Berto, Federico, Hua, Chuanbo, Luttmann, Laurin, Son, Jiwoo, Park, Junyoung, Ahn, Kyuree, Kwon, Changhyun, Xie, Lin, Park, Jinkyoo
Multi-agent combinatorial optimization problems such as routing and scheduling have great practical relevance but present challenges due to their NP-hard combinatorial nature, hard constraints on the number of possible agents, and hard-to-optimize ob
Externí odkaz:
http://arxiv.org/abs/2409.03811
Autor:
Berto, Federico, Hua, Chuanbo, Zepeda, Nayeli Gast, Hottung, André, Wouda, Niels, Lan, Leon, Park, Junyoung, Tierney, Kevin, Park, Jinkyoo
This paper introduces RouteFinder, a comprehensive foundation model framework to tackle different Vehicle Routing Problem (VRP) variants. Our core idea is that a foundation model for VRPs should be able to represent variants by treating each as a sub
Externí odkaz:
http://arxiv.org/abs/2406.15007
Autor:
Silva, Renato M., Azevedo, Gregório F., Berto, Matheus V. V., Rocha, Jean R., Fidelis, Eduardo C., Nogueira, Matheus V., Lisboa, Pedro H., Almeida, Tiago A.
Traffic incidents involving vulnerable road users (VRUs) constitute a significant proportion of global road accidents. Advances in traffic communication ecosystems, coupled with sophisticated signal processing and machine learning techniques, have fa
Externí odkaz:
http://arxiv.org/abs/2405.19202
Multi-Agent Reinforcement Learning (MARL) based Multi-Agent Path Finding (MAPF) has recently gained attention due to its efficiency and scalability. Several MARL-MAPF methods choose to use communication to enrich the information one agent can perceiv
Externí odkaz:
http://arxiv.org/abs/2403.07559
Large-scale multi-agent pathfinding (MAPF) presents significant challenges in several areas. As systems grow in complexity with a multitude of autonomous agents operating simultaneously, efficient and collision-free coordination becomes paramount. Tr
Externí odkaz:
http://arxiv.org/abs/2402.15546
Autor:
Muraoka, Katsuki, Kojiguchi, Naoto, Ito, Junpei, Nogami, Daisaku, Kato, Taichi, Tampo, Yusuke, Taguchi, Kenta, Isogai, Keisuke, Arranz, Teofilo, Blackwell, John, Blane, David, Brincat, Stephen M., Coates, Graeme, Cooney, Walter, Dvorak, Shawn, Galdies, Charles, Glomski, Daniel, Hambsch, Franz-Josef, Harris, Barbara, Hodge, John, Hernández-Verdejo, Jose L., Iozzi, Marco, Itoh, Hiroshi, Kiyota, Seiichiro, Lee, Darrell, Larsson, Magnus, Lahtinen, Tapio, Myers, Gordon, Monard, Berto, Aimar, Mario Morales, Moriyama, Masayuki, Mizutani, Masanori, Nagai, Kazuo, AlQaissieh, Thabet, Gabuya, Aldrin B., Odeh, Mohammad, Perello, Carlos, Pearce, Andrew, Perales, Juan Miguel, Quiles, David, Romanov, Filipp D., Lane, David J., Richmond, Michael, Ruocco, Nello, Sano, Yasuo, Spearman, Mark, Schmidt, Richard, Vanmunster, Tonny, Dubovsky, Pavol A., Wagner, Richard, Wollenhaupt, Guido, Lorenz, Joachim, Lehmann, Gerhard, Salewski, Andrea, Williamson, Guy
We present our optical photometric observations of the 2022 eruption of the recurrent nova U Scorpii (U Sco) using 49,152 data points over 70 d following the optical peak. We have also analyzed its soft X-ray (0.3--1 keV) light curve by the Neil Gehr
Externí odkaz:
http://arxiv.org/abs/2402.06347
Autor:
Ye, Haoran, Wang, Jiarui, Cao, Zhiguang, Berto, Federico, Hua, Chuanbo, Kim, Haeyeon, Park, Jinkyoo, Song, Guojie
The omnipresence of NP-hard combinatorial optimization problems (COPs) compels domain experts to engage in trial-and-error heuristic design. The long-standing endeavor of design automation has gained new momentum with the rise of large language model
Externí odkaz:
http://arxiv.org/abs/2402.01145
While complex simulations of physical systems have been widely used in engineering and scientific computing, lowering their often prohibitive computational requirements has only recently been tackled by deep learning approaches. In this paper, we pre
Externí odkaz:
http://arxiv.org/abs/2310.16397