Zobrazeno 1 - 10
of 43 904
pro vyhledávání: '"Popović, A"'
Python Testbed for Federated Learning Algorithms (PTB-FLA) is a simple FL framework targeting smart Internet of Things in edge systems that provides both generic centralized and decentralized FL algorithms, which implement the corresponding FL orches
Externí odkaz:
http://arxiv.org/abs/2410.13429
One of the many measures of the non-equilibrium nature of a system is the existence of a non-zero steady state current which is especially relevant for many biological systems. To this end, we study the non-equilibrium dynamics of a particle moving i
Externí odkaz:
http://arxiv.org/abs/2412.09103
Autor:
Cannas, Edoardo Daniele, Mandelli, Sara, Popovic, Natasa, Alkhateeb, Ayman, Gnutti, Alessandro, Bestagini, Paolo, Tubaro, Stefano
In this paper, we investigate the counter-forensic effects of the forthcoming JPEG AI standard based on neural image compression, focusing on two critical areas: deepfake image detection and image splicing localization. Neural image compression lever
Externí odkaz:
http://arxiv.org/abs/2412.03261
Autor:
Kopriva, Ivica, Sitnik, Dario, Dion-Bertrand, Laura-Isabelle, Periša, Marija Milković, Hadžija, Mirko, Hadžija, Marijana Popović
Hyperspectral imaging (HSI) holds significant potential for transforming the field of computational pathology. However, there is currently a shortage of pixel-wise annotated HSI data necessary for training deep learning (DL) models. Additionally, the
Externí odkaz:
http://arxiv.org/abs/2411.06969
The mechanism that controls the superconducting (SC) transition temperature $T_{\mathrm{c}}^{0}$ as a function of doping is one of the central questions in cuprate high-temperature superconductors. While it is generally accepted that $T_{\mathrm{c}}^
Externí odkaz:
http://arxiv.org/abs/2411.06603
Autor:
Kramnik, Danielius, Wang, Imbert, Ramesh, Anirudh, Cabanillas, Josep M. Fargas, Gluhović, Ðorđe, Buchbinder, Sidney, Zarkos, Panagiotis, Adamopoulos, Christos, Kumar, Prem, Stojanović, Vladimir M., Popović, Miloš A.
Silicon photonics is a leading platform for realizing the vast numbers of physical qubits needed for useful quantum information processing because it leverages mature complementary metal-oxide-semiconductor (CMOS) manufacturing to integrate on-chip t
Externí odkaz:
http://arxiv.org/abs/2411.05921
Multivariate random effects with unstructured variance-covariance matrices of large dimensions, $q$, can be a major challenge to estimate. In this paper, we introduce a new implementation of a reduced-rank approach to fit large dimensional multivaria
Externí odkaz:
http://arxiv.org/abs/2411.04411
Autor:
Britzen, S., Kovačević, A. B., Zajaček, M., Popović, L. Č., Pashchenko, I. N., Kun, E., Pánis, R., Jaron, F., Plšek, T., Tursunov, A., Stuchlík, Z.
The BL Lac Object PKS 1717+177 has been identified as potential neutrino-emitting AGN in the point source stacking analysis of IceCube data. We explore peculiarities in the morphology and kinematics of the jet and examine multi-wavelength light curve
Externí odkaz:
http://arxiv.org/abs/2410.18184
Autor:
Rückin, Julius, Morilla-Cabello, David, Stachniss, Cyrill, Montijano, Eduardo, Popović, Marija
Robots are frequently tasked to gather relevant sensor data in unknown terrains. A key challenge for classical path planning algorithms used for autonomous information gathering is adaptively replanning paths online as the terrain is explored given l
Externí odkaz:
http://arxiv.org/abs/2410.17166
Autor:
Grayling, Matthew, Popovic, Brodie
In recent years there has been significant debate around the impact of dust on SNe Ia, a major source of uncertainty in cosmological analyses. We perform the first cross-comparison of the probabilistic hierarchical SN Ia SED model BayeSN with the con
Externí odkaz:
http://arxiv.org/abs/2410.13747