Zobrazeno 1 - 10
of 10 272
pro vyhledávání: '"Nonato, A."'
Autor:
Nonato, A., Rodríguez-Hernández, Juan S., Abreu, D. S., Soares, C. C. S., Gómez, Mayra A. P., García-Fernández, Alberto, Señarís-Rodríguez, María A., andújar, Manuel Sánchez, Ayala, A. P., Paschoal, C. W. A., da Silva, Rosivaldo Xavier
Hybrid halide perovskites (HHPs) have attracted significant attention due to their remarkable optoelectronic properties that combine the advantages of low cost-effective fabrication methods of organic-inorganic materials. Notably, low-dimensional hyb
Externí odkaz:
http://arxiv.org/abs/2409.08259
Autor:
Guardieiro, Vitoria, de Oliveira, Felipe Inagaki, Doraiswamy, Harish, Nonato, Luis Gustavo, Silva, Claudio
High-dimensional data, characterized by many features, can be difficult to visualize effectively. Dimensionality reduction techniques, such as PCA, UMAP, and t-SNE, address this challenge by projecting the data into a lower-dimensional space while pr
Externí odkaz:
http://arxiv.org/abs/2409.07257
Autor:
Solunke, Parikshit, Guardieiro, Vitoria, Rulff, Joao, Xenopoulos, Peter, Chan, Gromit Yeuk-Yin, Barr, Brian, Nonato, Luis Gustavo, Silva, Claudio
With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide transparency and accountability for model predictions. As a result, a large number of local explain
Externí odkaz:
http://arxiv.org/abs/2406.15613
Machine learning and deep learning models are pivotal in educational contexts, particularly in predicting student success. Despite their widespread application, a significant gap persists in comprehending the factors influencing these models' predict
Externí odkaz:
http://arxiv.org/abs/2405.13957
The development of machine learning applications has increased significantly in recent years, motivated by the remarkable ability of learning-powered systems to discover and generalize intricate patterns hidden in massive datasets. Modern learning mo
Externí odkaz:
http://arxiv.org/abs/2404.16495
Publikováno v:
Revista Ambiente Contábil, Vol 16, Iss 2, Pp 241-267 (2024)
Objetivo: Apresentar proposta sobre um conjunto de indicadores de desempenho que podem ser utilizados nas auditorias dos tribunais de contas estaduais para avaliar a eficácia dos gastos orçamentários com a saúde pública. Metodologia: Trata-se
Externí odkaz:
https://doaj.org/article/b3fca1bad02542ce93df51261359584e
In Answer Set Programming (ASP), the user can define declaratively a problem and solve it with efficient solvers; practical applications of ASP are countless and several constraint problems have been successfully solved with ASP. On the other hand, s
Externí odkaz:
http://arxiv.org/abs/2305.11969
Autor:
Stan, Gabriela Ben Melech, Wofk, Diana, Fox, Scottie, Redden, Alex, Saxton, Will, Yu, Jean, Aflalo, Estelle, Tseng, Shao-Yen, Nonato, Fabio, Muller, Matthias, Lal, Vasudev
This research paper proposes a Latent Diffusion Model for 3D (LDM3D) that generates both image and depth map data from a given text prompt, allowing users to generate RGBD images from text prompts. The LDM3D model is fine-tuned on a dataset of tuples
Externí odkaz:
http://arxiv.org/abs/2305.10853
Autor:
Ribeiro, Cleide Gisele, Ramos, Plinio dos Santos, Bechara, Raimundo Nonato, de Oliveira, Juliano Machado, de Almeida, Erika Bicalho, Miguel, Soraida Sozzi, Ricardo, Djalma Rabelo, de Oliveira, Rodrigo Guerra
Publikováno v:
Higher Education, Skills and Work-Based Learning, 2023, Vol. 14, Issue 2, pp. 255-270.
Publikováno v:
Floresta e Ambiente, Vol 7, Iss 1, Pp 137-142 (2024)
RESUMO Podisus nigrispinus (Dallas) (Heteroptera: Pentatomidae) é um percevejo predador encontrado em sistemas agrícolas e florestais. Visando melhorar a eficiência de criação massal dessa espécie em laboratório, este trabalho objetivou avalia
Externí odkaz:
https://doaj.org/article/ff8abbc51518491892302b84e107198c