Zobrazeno 1 - 10
of 40 616
pro vyhledávání: '"FORTE A."'
Side-channel based instruction disassembly has been proposed as a low-cost and non-invasive approach for security applications such as IP infringement detection, code flow analysis, malware detection, and reconstructing unknown code from obsolete sys
Externí odkaz:
http://arxiv.org/abs/2412.07671
Autor:
Forte, Alessandro, Gawne, Thomas, Humphries, Oliver S., Campbell, Thomas, Shi, Yuanfeng, Vinko, Sam M.
Spectroscopic techniques are essential for studying material properties, but the small cross-sections of some methods may result in low signal-to-noise ratios (SNRs) in the collected spectra. In this article we present methods, based on combining Bra
Externí odkaz:
http://arxiv.org/abs/2411.16581
Publikováno v:
J. Phys.: Condens. Matter 37 (2025) 053002
The Mott insulator Ca2RuO4 is a paradigmatic example among transition metal oxides, where the interplay of charge, spin, orbital, and lattice degrees of freedom leads to competing quantum phases. In this paper, we focus on and review some key aspects
Externí odkaz:
http://arxiv.org/abs/2411.16472
Autor:
Cridge, Thomas, Harland-Lang, Lucian A., McGowan, Jamie, Thorne, Robert S., Ball, Richard D., Candido, Alessandro, Carrazza, Stefano, Cruz-Martinez, Juan, Del Debbio, Luigi, Forte, Stefano, Hekhorn, Felix, Magni, Giacomo, Nocera, Emanuele R., Rabemananjara, Tanjona R., Rojo, Juan, Stegeman, Roy, Ubiali, Maria
We discuss how the two existing approximate N$^3$LO (aN$^3$LO) sets of parton distributions (PDFs) from the MSHT20 and NNPDF4.0 series can be combined for LHC phenomenology, both in the pure QCD case and for the QCD$\otimes$QED sets that include the
Externí odkaz:
http://arxiv.org/abs/2411.05373
Finite state machines (FSMs) regulate sequential circuits, including access to sensitive information and privileged CPU states. Courtesy of contemporary research on laser attacks, laser-based fault injection (LFI) is becoming even more precise where
Externí odkaz:
http://arxiv.org/abs/2411.02798
Autor:
Pope, Simon A., Roth, Diane J., Bansal, Aakash, Mousa, Mostafa, Rezanejad, Ashkan, Forte, Antonio E., Nash, Geoff. R., Singleton, Lawrence, Langfeldt, Felix, Cheer, Jordan, Henthorn, Stephen, Hooper, Ian R., Hendry, Euan, Powell, Alex W., Souslov, Anton, Plum, Eric, Sun, Kai, de Groot, C. H., Muskens, Otto L., Shields, Joe, De Galarreta, Carlota Ruiz, Wright, C. David, Kocabas, Coskun, Ergoktas, M. Said, Xiao, Jianling, Schulz, Sebastian A., Di Falco, Andrea, Krasavin, Alexey V., Zayats, Anatoly V., Galiffi, Emanuele
Active metamaterials are engineered structures that possess novel properties that can be changed after the point of manufacture. Their novel properties arise predominantly from their physical structure, as opposed to their chemical composition and ca
Externí odkaz:
http://arxiv.org/abs/2411.09711
Autor:
Basini, M., Unikandanunni, V., Gabriele, F., Cross, M., Derrico, A. M., Gray, A. X., Hoffmann, M. C., Forte, F., Cuoco, M., Bonetti, S.
Achieving parametric excitation in an oscillating physical system involves periodically adjusting one of its parameters to modulate the oscillator's natural frequency. This phenomenon has been observed in numerous systems within physics and engineeri
Externí odkaz:
http://arxiv.org/abs/2410.06748
Autor:
García-Donato, Gonzalo, Castellanos, María Eugenia, Cabras, Stefano, Quirós, Alicia, Forte, Anabel
The interplay between missing data and model uncertainty -- two classic statistical problems -- leads to primary questions that we formally address from an objective Bayesian perspective. For the general regression problem, we discuss the probabilist
Externí odkaz:
http://arxiv.org/abs/2410.05893
Autor:
Forte, Federico Daniel
This paper examines the performance of Random Forest models in forecasting short-term monthly inflation in Argentina, based on a database of monthly indicators since 1962. It is found that these models achieve forecast accuracy that is statistically
Externí odkaz:
http://arxiv.org/abs/2410.01175
Autor:
Antoniali, Fabiana, Conza, Maria Luisa, Conventi, Francesco Alessandro, Cirotto, Francesco, D'Avanzo, Antonio, De Iorio, Agostino, De Iorio, Annalisa, Formicola, Nunzia, Forte, Manuela, Miele, Federica, Perna, Giovanni, Rossi, Biagio, Rossi, Elvira
In this paper, a statistical analysis of the performance of a low insulin index, alkaline and functional diet developed by ANTUR evaluated with machine learning techniques is reported. The sample of patients was checked on a regular basis with a BioI
Externí odkaz:
http://arxiv.org/abs/2409.18221