Zobrazeno 1 - 10
of 6 549
pro vyhledávání: '"Soares A. S."'
Autor:
Sousa, Frederico B., Nadas, Rafael Battistella, Martins, Rafael, Barboza, Ana P. M., Soares, Jaqueline S., Neves, Bernardo R. A., Silvestre, Ive, Jorio, Ado, Malard, Leandro M.
The role of defects in two-dimensional semiconductors and how they affect the intrinsic properties of these materials have been a wide researched topic over the past decades. Optical characterization such as photoluminescence and Raman spectroscopies
Externí odkaz:
http://arxiv.org/abs/2401.11984
We study the entanglement dynamics of accelerated atoms using the theory of open quantum systems. We consider two atoms travelling along different hyperbolic trajectories with different proper times. We use the generalized master equation to discuss
Externí odkaz:
http://arxiv.org/abs/2312.16342
Autor:
Hilário, Eloísa G., Habib, Tatiana, Maciel, Célio V. T., da Silva, Rodrigo F., Luz, Daniel F., Soares, Gabriela S., Caillier, Bruno, Jacinto, Carlos, Maia, Lauro J. Q., Caiut, José Maurício A., Moura, André L.
In the anti-Stokes excitation of trivalent rare-earth ions (RE3+), the excitation photons energy is smaller than that of a given absorption transition, and the energy mismatch can be compensated by phonons annihilation from the host lattice. Since th
Externí odkaz:
http://arxiv.org/abs/2306.11937
Autor:
Oliveira, Frederico S., Casanova, Edresson, Júnior, Arnaldo Cândido, Soares, Anderson S., Filho, Arlindo R. Galvão
In this paper, we present CML-TTS, a recursive acronym for CML-Multi-Lingual-TTS, a new Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG). CML-TTS is based on
Externí odkaz:
http://arxiv.org/abs/2306.10097
Autor:
Oliveira, Frederico S., Casanova, Edresson, Júnior, Arnaldo Cândido, Gris, Lucas R. S., Soares, Anderson S., Filho, Arlindo R. Galvão
In this paper, we evaluate feature extraction models for predicting speech quality. We also propose a model architecture to compare embeddings of supervised learning and self-supervised learning models with embeddings of speaker verification models t
Externí odkaz:
http://arxiv.org/abs/2306.09979
Autor:
Soares, Antonio S, Bano, Sophia, Clancy, Neil T, Lovat, Laurence B, Stoyanov, Danail, Chand, Manish
Background: Fluorescence angiography has shown very promising results in reducing anastomotic leaks by allowing the surgeon to select optimally perfused tissue. However, subjective interpretation of the fluorescent signal still hinders broad applicat
Externí odkaz:
http://arxiv.org/abs/2206.05935
Autor:
Cunnington, Steven, Li, Yichao, Santos, Mario G., Wang, Jingying, Carucci, Isabella P., Irfan, Melis O., Pourtsidou, Alkistis, Spinelli, Marta, Wolz, Laura, Soares, Paula S., Blake, Chris, Bull, Philip, Engelbrecht, Brandon, Fonseca, José, Grainge, Keith, Ma, Yin-Zhe
We present a detection of correlated clustering between MeerKAT radio intensity maps and galaxies from the WiggleZ Dark Energy Survey. We find a $7.7\sigma$ detection of the cross-correlation power spectrum, the amplitude of which is proportional to
Externí odkaz:
http://arxiv.org/abs/2206.01579
Publikováno v:
Sistemas de Informação, Vol 1, Iss 31, Pp 32-47 (2023)
Sentiment analysis approaches have offered a useful tool for decision support systems in various fields, including politics, network management, marketing, and healthcare. Owing to the increasing impact of online social networks on these fields and t
Externí odkaz:
https://doaj.org/article/5eff7a4e7ecb41ffa8c534515fd54156
We propose a new form for the quantum master equation in the theory of open quantum systems. This new formalism allows one to describe the dynamics of two-level systems moving along different hyperbolic trajectories with distinct proper times. In the
Externí odkaz:
http://arxiv.org/abs/2205.11628
Autor:
Oliveira, Victor H. R., Antunes, Augusto, Soares, Alexandre S., Reys, Arthur D., Júnior, Robson Z., Pedro, Saulo D. S., Silva, Danilo
In this work, deep learning techniques for brain age prediction from magnetic resonance images are investigated, aiming to assist in the identification of biomarkers of the natural aging process. The identification of biomarkers is useful for detecti
Externí odkaz:
http://arxiv.org/abs/2112.12609