Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Hugo Siqueira"'
Autor:
Henrique Otavio Coutinho Sanches, Hugo Siqueira Diniz, Thirza Damasceno Ramos Oliva, Isabella Mesquita Sfair Silva, Gisele Alves Morikawa Caldeira, Flávia Marques Santos, Rosana Maria Feio Libonati
Publikováno v:
Revista Médica de Minas Gerais, Vol 34, p e-34106 (2024)
Introduction: Women living with HIV (MVHIV) have a lower mean age at menopause than the general population, in addition to more exuberant symptoms during this period. These factors can further reduce the quality of life of this population during peri
Externí odkaz:
https://doaj.org/article/112aa2eb273c428a93586e221b501412
Autor:
Pedro L.O. Machado, Thomas S. Pereira, Marcio G. Trindade, Felipe M. Biglia, Paulo H.D. Santos, Yara S. Tadano, Hugo Siqueira, Thiago Antonini Alves
Publikováno v:
Alexandria Engineering Journal, Vol 79, Iss , Pp 93-104 (2023)
The overheating of electronic devices has become very common with the advancement of technology, requiring the development of new alternatives for thermal control. Due to their excellent heat transfer ability, no external power is needed and they are
Externí odkaz:
https://doaj.org/article/1495feb689c34c5ea60ce6a32b7298c0
The no free lunch theorem states that no model is better suited to every problem. A question that arises from this is how to design methods that propose optimizers tailored to specific problems achieving state-of-the-art performance. This paper addre
Externí odkaz:
http://arxiv.org/abs/2103.03526
The uncertainty estimation is critical in real-world decision making applications, especially when distributional shift between the training and test data are prevalent. Many calibration methods in the literature have been proposed to improve the pre
Externí odkaz:
http://arxiv.org/abs/1911.11195
The great performances of deep learning are undeniable, with impressive results over a wide range of tasks. However, the output confidence of these models is usually not well-calibrated, which can be an issue for applications where confidence on the
Externí odkaz:
http://arxiv.org/abs/1905.00174
Recently, Deep Neural Networks (DNNs) have been achieving impressive results on wide range of tasks. However, they suffer from being well-calibrated. In decision-making applications, such as autonomous driving or medical diagnosing, the confidence of
Externí odkaz:
http://arxiv.org/abs/1810.11586
Autor:
Paulo S. G. De Mattos Neto, Paulo Renato A. Firmino, Hugo Siqueira, Yara De Souza Tadano, Thiago Antonini Alves, Joao Fausto L. De Oliveira, Manoel Henrique Da Nobrega Marinho, Francisco Madeiro
Publikováno v:
IEEE Access, Vol 9, Pp 14470-14490 (2021)
The air pollution caused by particulate matter (PM) has become a public health issue due to the risks to human life and the environment. The PM concentration in the air causes haze and affects the lungs and the heart, leading to reduced visibility, a
Externí odkaz:
https://doaj.org/article/a155121489f04d859f14317cdc4f9ef2
Autor:
Mariana Macedo, Hugo Siqueira, Elliackin Figueiredo, Clodomir Santana, Rodrigo C. Lira, Anu Gokhale, Carmelo Bastos-Filho
Publikováno v:
IEEE Access, Vol 9, Pp 149814-149858 (2021)
Swarm Intelligence is applied to optimisation problems due to its robustness, scalability, generality, and flexibility. Based on simple rules, simple reactive agents - swarm (e.g. fish, bird, and ant) - directly or indirectly exchange information to
Externí odkaz:
https://doaj.org/article/365a682cc7af4cd9beca262e368d1f09
Autor:
Hugo Siqueira, Marcella S. R. Martins, Carlos Henrique Rodrigues Alves, Sergio Luiz Stevan, Carolina Deina, Flavio Trojan, Matheus Henrique do Amaral Prates
Publikováno v:
Information Processing in Agriculture. 9:556-565
This work introduces a methodology to estimate coffee prices based on the use of Extreme Learning Machines. The process is initiated by identifying the presence of nonstationary components, like seasonality and trend. These components are withdrawn i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05a4a141df643f6b9578e12d81da2330
https://doi.org/10.1016/j.inpa.2021.07.003
https://doi.org/10.1016/j.inpa.2021.07.003
Autor:
Francisco Madeiro, Domingos S. de O. Santos Júnior, João Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto, Manoel Henrique da Nóbrega Marinho, Hugo Siqueira
Publikováno v:
Information Sciences. 581:495-514
The integration of wind power with traditional electricity grids is challenging because of the volatile and intermittent nature of wind speed. Consequently, wind speed forecasting is an essential tool in the energy system because it supports economic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863fd0521a2ecca71a5d4cdbf886a667
https://doi.org/10.1016/j.ins.2021.09.054
https://doi.org/10.1016/j.ins.2021.09.054