Zobrazeno 1 - 10
of 22 881
pro vyhledávání: '"P Paris"'
Autor:
López-Fernández, Jesús, Fernández-Plazaola, Unai, París, José F., Díez, Luis, Martos-Naya, Eduardo
Publikováno v:
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vo. 69, no. 4, pp. 4019 - 4032 , April 2020
In this work we present the results of a measurement campaign carried out in the Mediterranean sea aimed at characterizing the underwater acoustic channel in a wideband at ultrasonic frequencies centered at 80 kHz with a width of 96 kHz, covering two
Externí odkaz:
http://arxiv.org/abs/2411.11726
The spread of fake news on social media poses significant threats to individuals and society. Text-based and graph-based models have been employed for fake news detection by analysing news content and propagation networks, showing promising results i
Externí odkaz:
http://arxiv.org/abs/2411.09389
Deep Learning techniques have excelled at generating embedding spaces that capture semantic similarities between items. Often these representations are paired, enabling experiments with analogies (pairs within the same domain) and cross-modality (pai
Externí odkaz:
http://arxiv.org/abs/2411.08687
Autor:
Driver, Taran, Guo, Zhaoheng, Isele, Erik, Grell, Gilbert, Ruberti, Marco, ONeal, Jordan T., Alexander, Oliver, Beauvarlet, Sandra, Cesar, David, Duris, Joseph, Garratt, Douglas, Larsen, Kirk A., Li, Siqi, Kolorenč, Přemysl, McCracken, Gregory A., Tuthill, Daniel, Wang, Zifan, Berrah, Nora, Bostedt, Christoph, Borne, Kurtis, Cheng, Xinxin, DiMauro, Louis F., Doumy, Gilles, Franz, Paris L., Kamalov, Andrei, Li, Xiang, Lin, Ming-Fu, Obaid, Razib, Picón, Antonio, Robles, River R., Rolles, Daniel, Rudenko, Artem, Shaikh, Moniruzzaman, Slaughter, Daniel S., Sudar, Nicholas S., Thierstein, Emily, Ueda, Kiyoshi, Wang, Enliang, Wang, Anna L., Weber, Thorsten, Wolf, Thomas J. A., Young, Linda, Zhang, Zhen, Averbukh, Vitali, Gessner, Oliver, Bucksbaum, Philip H., Kling, Matthias F., Palacios, Alicia, Martín, Fernando, Marangos, Jon P., Walter, Peter, Marinelli, Agostino, Cryan, James P.
In molecular systems, the ultrafast motion of electrons initiates the process of chemical change. Tracking this electronic motion across molecules requires coupling attosecond time resolution to atomic-scale spatial sensitivity. In this work, we empl
Externí odkaz:
http://arxiv.org/abs/2411.01700
Enhancing the modular structure of existing systems has attracted substantial research interest, focusing on two main methods: (1) software modularization and (2) identifying design issues (e.g., smells) as refactoring opportunities. However, re-modu
Externí odkaz:
http://arxiv.org/abs/2411.01012
Autor:
Napolitano, Lorenzo, Castellano, Marco, Pentericci, Laura, Vignali, Cristian, Gilli, Roberto, Fontana, Adriano, Santini, Paola, Treu, Tommaso, Calabrò, Antonello, Llerena, Mario, Piconcelli, Enrico, Zappacosta, Luca, Mascia, Sara, Bergamini, Pietro, Bakx, Tom J. L. C., Dickinson, Mark, Glazebrook, Karl, Henry, Alaina, Leethochawalit, Nicha, Mazzolari, Giovanni, Merlin, Emiliano, Morishita, Takahiro, Nanayakkara, Themiya, Paris, Diego, Puccetti, Simonetta, Roberts-Borsani, Guido, Ruiz, Sofia Rojas, Vanzella, Eros, Vito, Fabio, Vulcani, Benedetta, Wang, Xin, Yoon, Ilsang, Zavala, Jorge A.
We present JWST/NIRSpec PRISM spectroscopic characterization of GHZ9 at z= 10.145 $\pm$ 0.010, currently the most distant source detected by the Chandra X-ray Observatory. The spectrum reveals several UV high-ionization lines, including CII, SiIV, [N
Externí odkaz:
http://arxiv.org/abs/2410.18763
We characterize, in terms of the defining graph, when a twisted right-angled Artin group (a group whose only relations among pairs of generators are either commuting or Klein-bottle type relations) is left-orderable.
Externí odkaz:
http://arxiv.org/abs/2410.19086
In this paper, we focus on a matrix factorization-based approach for robust low-rank and asymmetric matrix recovery from corrupted measurements. We address the challenging scenario where the rank of the sought matrix is unknown and employ an overpara
Externí odkaz:
http://arxiv.org/abs/2410.16826
Self-Admitted Technical Debt (SATD) refers to circumstances where developers use textual artifacts to explain why the existing implementation is not optimal. Past research in detecting SATD has focused on either identifying SATD (classifying SATD ite
Externí odkaz:
http://arxiv.org/abs/2410.15804
Autor:
Shysheya, Aliaksandra, Diaconu, Cristiana, Bergamin, Federico, Perdikaris, Paris, Hernández-Lobato, José Miguel, Turner, Richard E., Mathieu, Emile
Modelling partial differential equations (PDEs) is of crucial importance in science and engineering, and it includes tasks ranging from forecasting to inverse problems, such as data assimilation. However, most previous numerical and machine learning
Externí odkaz:
http://arxiv.org/abs/2410.16415