Zobrazeno 1 - 10
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pro vyhledávání: '"Adil, A."'
Multimodal deepfakes involving audiovisual manipulations are a growing threat because they are difficult to detect with the naked eye or using unimodal deep learningbased forgery detection methods. Audiovisual forensic models, while more capable than
Externí odkaz:
http://arxiv.org/abs/2411.09266
Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detection is no exception. Deepfakes are fake yet realistic synthetic content that can be used deceitfully for political impersonation, phishing, slandering, or
Externí odkaz:
http://arxiv.org/abs/2411.07650
This paper explores the development and practical application of a predictive digital twin specifically designed for condition monitoring, using advanced mathematical models and thermal imaging techniques. Our work presents a comprehensive approach t
Externí odkaz:
http://arxiv.org/abs/2411.05887
Autor:
Di Mauro, Mattia, Fornengo, Nicolao, Jueid, Adil, de Austri, Roberto Ruiz, Bellini, Francesca
The detection of cosmic antideuterons ($\overline{\rm D}$) at kinetic energies below a few GeV/n could provide a smoking gun signature for dark matter (DM). However, the theoretical uncertainties of coalescence models have represented so far one of t
Externí odkaz:
http://arxiv.org/abs/2411.04815
Autor:
Menges, Daniel, Rasheed, Adil
Autonomous surface vessels (ASVs) are becoming increasingly significant in enhancing the safety and sustainability of maritime operations. To ensure the reliability of modern control algorithms utilized in these vessels, digital twins (DTs) provide a
Externí odkaz:
http://arxiv.org/abs/2411.03465
In recent years, there have been significant advances in efficiently solving $\ell_s$-regression using linear system solvers and $\ell_2$-regression [Adil-Kyng-Peng-Sachdeva, J. ACM'24]. Would efficient $\ell_p$-norm solvers lead to even faster rates
Externí odkaz:
http://arxiv.org/abs/2410.24158
Autor:
Rehman, Adil, Petriakov, Volodymyr, Yahniuk, Ivan, Kazakov, Aleksandr, Rogalska, Iwona, Grendysa, Jakub, Marchewka, Michał, Haras, Maciej, Wojtowicz, Tomasz, Cywiński, Grzegorz, Knap, Wojciech, Rumyantsev, Sergey
Hg$_{1-x}$Cd$_x$Te is a unique material with the band-gap tunable by the temperature, pressure, and cadmium content in a wide range, from 1.6 eV to inverted band-gap of -0.3 eV. This makes Hg$_{1-x}$Cd$_x$Te one of the key materials for infrared and
Externí odkaz:
http://arxiv.org/abs/2410.23755
Autor:
Adams, Douglas Q., Bautista, Joshua, Cuic, Marija, Khawaja, Adil, Pandey, Saraswati, Panjsheeri, Zaki, Chern, Gia-Wei, Li, Yaohang, Liuti, Simonetta, Boer, Marie, Engelhardt, Michael, Goldstein, Gary R., Lin, Huey-Wen, Sievert, Matthew D.
A likelihood analysis of the observables in deeply virtual exclusive photoproduction off a proton target, $ep \rightarrow e' p' \gamma'$, is presented. Two processes contribute to the reaction: deeply virtual Compton scattering, where the photon is p
Externí odkaz:
http://arxiv.org/abs/2410.23469
A Wino-like neutralino dark matter (DM) in the form of the lightest supersymmetric particle (LSP) has been considered one of the popular paradigms that can naturally accommodate {\it new physics} at a relatively higher scale, typically beyond the rea
Externí odkaz:
http://arxiv.org/abs/2410.18206
The lightest neutralino ($\tilde{\chi}_1^0$) is a promising dark matter (DM) candidate in the R-parity conserving minimal supersymmetric standard model (MSSM). In this work, we focus on dominantly Higgsino-like and Wino-like $\tilde{\chi}_1^0$ DM, wi
Externí odkaz:
http://arxiv.org/abs/2410.18205