Zobrazeno 1 - 10
of 27 993
pro vyhledávání: '"P. Viana"'
Constraints to the inert doublet model of dark matter with very high-energy gamma-rays observatories
We investigate the constraints on the Inert Doublet Model (IDM), a minimal extension of the Standard Model of Particle Physics featuring a scalar dark matter candidate, using data from recent and future gamma-ray observatories. The relevance of the m
Externí odkaz:
http://arxiv.org/abs/2411.05909
We introduce VEMOCLAP: Video EMOtion Classifier using Pretrained features, the first readily available and open-source web application that analyzes the emotional content of any user-provided video. We improve our previous work, which exploits open-s
Externí odkaz:
http://arxiv.org/abs/2410.21303
Autor:
Casilli, Antonio A., Tubaro, Paola, Cornet, Maxime, Ludec, Clément Le, Torres-Cierpe, Juana, Braz, Matheus Viana
Labor plays a major, albeit largely unrecognized role in the development of artificial intelligence. Machine learning algorithms are predicated on data-intensive processes that rely on humans to execute repetitive and difficult-to-automate, but no le
Externí odkaz:
http://arxiv.org/abs/2410.14230
Publikováno v:
Expert Systems with Applications 258 (2024) 125209
We introduce a novel method for movie genre classification, capitalizing on a diverse set of readily accessible pretrained models. These models extract high-level features related to visual scenery, objects, characters, text, speech, music, and audio
Externí odkaz:
http://arxiv.org/abs/2410.19760
The main properties of a dynamical system can be analyzed by examining the corresponding basins, either attraction basins in dissipative systems or escape basins in open Hamiltonian systems and area-preserving maps. In the latter case, the selection
Externí odkaz:
http://arxiv.org/abs/2409.20373
Publikováno v:
Ricardo Festi; J{\"o}rg Nowak. As novas infraestruturas produtivas: digitaliza{\c c}{\~a}o do trabalho, e-log{\'i}stica e ind{\'u}stria 4.0, Boitempo, pp.105-120, 2024, 6557173871
AI generates both enthusiasm and disillusionment, with promises that often go unfulfilled. It is therefore not surprising that human labor, which is its fundamental component, is also subject to these same deceptions. The development of "smart techno
Externí odkaz:
http://arxiv.org/abs/2410.03694
Exploring chaotic systems via Poincar\'e sections has proven essential in dynamical systems, yet measuring their characteristics poses challenges to identify the various dynamical regimes considered. In this paper, we propose a new approach that uses
Externí odkaz:
http://arxiv.org/abs/2409.13086
Autor:
Guigues, Vincent, Kleywegt, Anton, Nascimento, Victor Hugo, Rodrigues, Victor Salles, Viana, Thais, Medeiros, Edson
This paper describes an online tool for the visualization of medical emergency locations, randomly generated sample paths of medical emergencies, and the animation of ambulance movements under the control of various dispatch methods in response to th
Externí odkaz:
http://arxiv.org/abs/2409.09154
In this work we studied the stability of the family of operators $L_a=\Delta-aS$, $a\in\mathbb R$, in a warped product of an infinite interval or real line by one compact manifold, where $\Delta$ is the Laplacian and $S$ is the scalar curvature of th
Externí odkaz:
http://arxiv.org/abs/2409.08818
Autor:
Oliveira, Geronimo, Viana, Arlúcio
In this work, we study the heat equation with Grushin's operator. We present an expression for its heat kernel and get regularity properties and decay on $L^p$ spaces for both heat Kernel and semigroup associated to Grushin's operator. Next, we use t
Externí odkaz:
http://arxiv.org/abs/2409.06578