Zobrazeno 1 - 10
of 776
pro vyhledávání: '"Rosa, A. H."'
Autor:
Rosa, T. H. T., Oliveira, M. A., Mendez-Gonzalez, Y., Guerrero, F., Guo, R., Bhalla, A. S., Guerra, J. D. S.
Publikováno v:
Journal of Alloys and Compounds 1008 (2024) 176510
Perovskite structure materials based on the Ba1-xGdxTiO3 system, where x = 0.001, 0.002, 0.003, 0.004 and 0.005, were prepared via the Pechini chemical synthesis route. The dielectric properties have been analyzed over a wide temperature and frequenc
Externí odkaz:
http://arxiv.org/abs/2406.05463
The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming amount of candidate sol
Externí odkaz:
http://arxiv.org/abs/2301.13671
Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classification and reconstruction, object recognition, and text categorization.
Externí odkaz:
http://arxiv.org/abs/2212.09447
Autor:
Roder, Mateus, Almeida, Jurandy, de Rosa, Gustavo H., Passos, Leandro A., Rossi, André L. D., Papa, João P.
In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities. Additionally, such an improvement is partially explained due to the advent of deep learning techniques,
Externí odkaz:
http://arxiv.org/abs/2211.17045
Autor:
Oliveira, Guilherme C., Rosa, Gustavo H., Pedronette, Daniel C. G., Papa, João P., Kumar, Himeesh, Passos, Leandro A., Kumar, Dinesh
Publikováno v:
Biomedical Signal Processing and Control, 94 (2024), 106263
Deep learning applications for assessing medical images are limited because the datasets are often small and imbalanced. The use of synthetic data has been proposed in the literature, but neither a robust comparison of the different methods nor gener
Externí odkaz:
http://arxiv.org/abs/2203.13856
Autor:
Javaheripi, Mojan, de Rosa, Gustavo H., Mukherjee, Subhabrata, Shah, Shital, Religa, Tomasz L., Mendes, Caio C. T., Bubeck, Sebastien, Koushanfar, Farinaz, Dey, Debadeepta
The Transformer architecture is ubiquitously used as the building block of large-scale autoregressive language models. However, finding architectures with the optimal trade-off between task performance (perplexity) and hardware constraints like peak
Externí odkaz:
http://arxiv.org/abs/2203.02094
Autor:
Oliveira, Guilherme C., Rosa, Gustavo H., Pedronette, Daniel C.G., Papa, João P., Kumar, Himeesh, Passos, Leandro A., Kumar, Dinesh
Publikováno v:
In Biomedical Signal Processing and Control August 2024 94
Autor:
Wang, Xiaohua, Fernandez, Rodolfo, Brockman, Theodore, Supichayanggoon, Kacharat, La Rosa, Andres H.
Publikováno v:
Journal of Applied Physics; 6/28/2024, Vol. 135 Issue 24, p1-7, 7p
Publikováno v:
In Applied Soft Computing October 2024 164
Autor:
Rosa, Clarissa H., Morais, Daniela F.S., Rosa, Gilber R., dos Santos, João H.Z., Lopes, José Carlos B., Dias, Madalena M., Montes, Rosa, Rodil, Rosario, Quintana, José Benito, Cerrón-Calle, Gabriel Antonio, Garcia-Segura, Sergi, Tavares, Carlos J., Vilar, Vítor J.P., Moreira, Francisca C.
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)