Zobrazeno 1 - 10
of 31 370
pro vyhledávání: '"Bono A."'
Large Language Models (LLMs) and search engines have the potential to perpetuate biases and stereotypes by amplifying existing prejudices in their training data and algorithmic processes, thereby influencing public perception and decision-making. Whi
Externí odkaz:
http://arxiv.org/abs/2408.15696
Autor:
Morell, Maxime, Collet, Manuel, Gourdon, Emmanuel, Savadkoohi, Alireza Ture, De Bono, Emanuele
Nonlinear dynamics have long been exploited in order to damp vibrations in solid mechanics. The phenomenon of irreversible energy transfer from a linear primary system to a nonlinear absorber has driven great attention to the optimal design of vibrat
Externí odkaz:
http://arxiv.org/abs/2408.09728
Autor:
De Bono, E., Collet, M., Billon, K., Salze, E., Lissek, H., Volery, M., Ouisse, M., Mardjono, J.
The new generation of Ultra-High-By-Pass-Ratio (UHBR) turbofan engine while considerably reducing fuel consumption, threatens higher noise levels at low frequencies because of its larger diameter, lower number of blades and rotational speed. This is
Externí odkaz:
http://arxiv.org/abs/2408.10238
Autor:
De Bono, E., Collet, M., Billon, K., Salze, E., Lissek, H., Volery, M., Ouisse, M., Mardjono, J.
The new generation of Ultra-High-By-Pass-Ratio (UHBR) turbofan engine while considerably reducing fuel consumption, threatens higher noise levels at low frequencies because of its larger diameter, lower number of blades and rotational speed. This is
Externí odkaz:
http://arxiv.org/abs/2408.10237
In this work, we give some criteria that allow us to decide when two sequences of matrix-valued orthogonal polynomials are related via a Darboux transformation and to build explicitly such transformation. In particular, they allow us to see when and
Externí odkaz:
http://arxiv.org/abs/2407.20994
The task of sampling efficiently the Gibbs-Boltzmann distribution of disordered systems is important both for the theoretical understanding of these models and for the solution of practical optimization problems. Unfortunately, this task is known to
Externí odkaz:
http://arxiv.org/abs/2407.19483
We introduce Java-Class-Hijack, a novel software supply chain attack that enables an attacker to inject malicious code by crafting a class that shadows a legitimate class that is in the dependency tree. We describe the attack, provide a proof-of-conc
Externí odkaz:
http://arxiv.org/abs/2407.18760
Autor:
Mekhaël, Nicolas, Pasquato, Mario, Carenini, Gaia, Braga, Vittorio F., Trevisan, Piero, Bono, Giuseppe, Hezaveh, Yashar
We present the first application of data-driven techniques for dynamical system analysis based on Koopman theory to variable stars. We focus on light curves of RRLyrae type variables, in the Galactic globular cluster $\omega$ Centauri. Light curves a
Externí odkaz:
http://arxiv.org/abs/2407.16868
Autor:
Eddin, Ahmad Naser, Bono, Jacopo, Aparício, David, Ferreira, Hugo, Ribeiro, Pedro, Bizarro, Pedro
Continuous-time dynamic graphs (CTDGs) are essential for modeling interconnected, evolving systems. Traditional methods for extracting knowledge from these graphs often depend on feature engineering or deep learning. Feature engineering is limited by
Externí odkaz:
http://arxiv.org/abs/2407.07712
Autor:
Saracco, P., Conconi, P., Arcidiacono, C., Portaluri, E., Mahmoodzadeh, H., D'Orazi, V., Fedele, D., Gargiulo, A., Vanzella, E., Franzetti, P., Arosio, I., Barbalini, L., Lops, G., Molinari, E., Cascone, E., Cianniello, V., D'Auria, D., De Caprio, V., Di Antonio, I., Di Francesco, B., Di Rico, G., Eredia, C., Fumana, M., Greggio, D., Rodeghiero, G., Scalera, M., Alcala', J. M., Bisogni, S., Bonito, R., Bono, G., Garatti, A. Caratti o, Bonta', E. Dalla, Dall'Ora, M., Fiorentino, G., Gallazzi, A. R., Guarcello, M., Izzo, L., La Barbera, F., Lardo, C., Longhetti, M., Longobardo, A., Magrini, L., Mancini, C., Mura, A., Piconcelli, E., Pizzella, A., Podio, L., Polletta, M., Prisinzano, L., Ricci, F., Ripepi, V., Roccatagliata, V., Vietri, G.
The Extremely Large Telescopes (ELTs), thanks to their large apertures and cutting-edge Multi-Conjugate Adaptive Optics (MCAO) systems, promise to deliver sharper and deeper data even than the JWST. SHARP is a concept study for a near-IR (0.95-2.45 $
Externí odkaz:
http://arxiv.org/abs/2407.06264