Zobrazeno 1 - 10
of 43 833
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
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
Robots need robust and flexible vision systems to perceive and reason about their environments beyond geometry. Most of such systems build upon deep learning approaches. As autonomous robots are commonly deployed in initially unknown environments, pr
Externí odkaz:
http://arxiv.org/abs/2410.10684