Zobrazeno 1 - 10
of 6 424
pro vyhledávání: '"LLORENS, P."'
Publikováno v:
Applied Thermal Engineering, Volume 236, Part B, 2024, 121566
Three-orifice baffles equally spaced along a circular tube are investigated as a means for heat transfer enhancement under net, oscillatory and compound flows. An unprecedented, systematic analysis of the relative orientation of consecutive baffles -
Externí odkaz:
http://arxiv.org/abs/2412.15682
Publikováno v:
Mathematics 2020, 8, 1181
In risk theory, financial asset returns often follow heavy-tailed distributions. Investors and risk managers used to compare risk measures as the value at risk or tail value at risk in order over the whole confidence levels to avoid the exposure to t
Externí odkaz:
http://arxiv.org/abs/2412.08440
We present BALDUR, a novel Bayesian algorithm designed to deal with multi-modal datasets and small sample sizes in high-dimensional settings while providing explainable solutions. To do so, the proposed model combines within a common latent space the
Externí odkaz:
http://arxiv.org/abs/2411.07043
Publikováno v:
Fuzzy Sets and Systems 2023 Vol. 467
This paper proposes a variance-based measure of importance for coherent systems with dependent and heterogeneous components. The particular cases of independent components and homogeneous components are also considered. We model the dependence struct
Externí odkaz:
http://arxiv.org/abs/2409.18669
Publikováno v:
Naval Research Logistics 2024 Vol. 71 n 5 pp. 627-644
The article is focused on studying how to predict the failure times of coherent systems from the early failure times of their components. Both the cases of independent and dependent components are considered by assuming that they are identically dist
Externí odkaz:
http://arxiv.org/abs/2409.18625
The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new challenges for the academic community. With the help of these models, students can easily complete their assignments and exams, while educators struggle to detect AI-ge
Externí odkaz:
http://arxiv.org/abs/2407.13105
Autor:
Llorens, Santiago, González, Walther, Sentís, Gael, Calsamiglia, John, Bagan, Emili, Muñoz-Tapia, Ramon
This paper introduces quantum edge detection, aimed at locating boundaries of quantum domains where all particles share the same pure state. Focusing on the 1D scenario of a string of particles, we develop an optimal protocol for quantum edge detecti
Externí odkaz:
http://arxiv.org/abs/2405.11373
The state of a finite-dimensional quantum system is described by a density matrix that can be decomposed into a real diagonal, a real off-diagonal and and an imaginary off-diagonal part. The latter plays a peculiar role. While it is intuitively clear
Externí odkaz:
http://arxiv.org/abs/2404.15179
Autor:
Luna, Raimon, Llorens-Monteagudo, Miquel, Lorenzo-Medina, Ana, Bustillo, Juan Calderón, Sanchis-Gual, Nicolas, Torres-Forné, Alejandro, Font, José A., Herdeiro, Carlos A. R., Radu, Eugen
Publikováno v:
Phys.Rev.D 110 (2024) 2, 024004
We present several high-accuracy surrogate models for gravitational-wave signals from equal-mass head-on mergers of Proca stars, computed through the Newman-Penrose scalar $\psi_4$. We also discuss the current state of the model extensions to mergers
Externí odkaz:
http://arxiv.org/abs/2404.01395
Autor:
Huang, Qiuyuan, Wake, Naoki, Sarkar, Bidipta, Durante, Zane, Gong, Ran, Taori, Rohan, Noda, Yusuke, Terzopoulos, Demetri, Kuno, Noboru, Famoti, Ade, Llorens, Ashley, Langford, John, Vo, Hoi, Fei-Fei, Li, Ikeuchi, Katsu, Gao, Jianfeng
Recent advancements in large foundation models have remarkably enhanced our understanding of sensory information in open-world environments. In leveraging the power of foundation models, it is crucial for AI research to pivot away from excessive redu
Externí odkaz:
http://arxiv.org/abs/2403.00833