Zobrazeno 1 - 10
of 7 587
pro vyhledávání: '"OLIVEIRA, A. L."'
Surface roughness plays a crucial role in the accuracy of indentation experiments used to measure the elastic properties of materials. In this study, we present a computational analysis of how surface roughness, represented explicitly by fractal geom
Externí odkaz:
http://arxiv.org/abs/2410.17486
Autor:
de Oliveira, Bryan L. M., da Luz, Murilo L., Brandão, Bruno, Martins, Luana G. B., Soares, Telma W. de L., Melo, Luckeciano C.
Learning effective visual representations is crucial in open-world environments where agents encounter diverse and unstructured observations. This ability enables agents to extract meaningful information from raw sensory inputs, like pixels, which is
Externí odkaz:
http://arxiv.org/abs/2410.14038
Autor:
Riffel, Rogemar A., Souza-Oliveira, Gabriel L., Costa-Souza, José Henrique, Zakamska, Nadia L., Storchi-Bergmann, Thaisa, Riffel, Rogério
We use James Webb Space Telescope (JWST) Mid-Infrared Instrument (MIRI) medium-resolution spectrometer (MRS) observations of UGC 8782, CGCG 012-070 and NGC 3884 to investigate the origin of the H$_2$ emission. These three nearby AGN hosts are known t
Externí odkaz:
http://arxiv.org/abs/2410.06960
While convolutional neural networks (CNNs) excel at clean image classification, they struggle to classify images corrupted with different common corruptions, limiting their real-world applicability. Recent work has shown that incorporating a CNN fron
Externí odkaz:
http://arxiv.org/abs/2409.16838
Autor:
Costa-Souza, J. H., Riffel, Rogemar A., Souza-Oliveira, Gabriel L., Zakamska, Nadia L., Bianchin, Marina, Storchi-Bergmann, Thaisa, Riffel, Rogério
We use the James Webb Space Telescope (JWST) Mid-Infrared Instrument (MIRI) medium-resolution spectrometer (MRS) observations of the radio loud AGN host UGC 8782 to map the warm molecular and ionized gas kinematics. The data reveal spatially resolved
Externí odkaz:
http://arxiv.org/abs/2408.06100
Autor:
Duarte, André V., Marques, João, Graça, Miguel, Freire, Miguel, Li, Lei, Oliveira, Arlindo L.
Modern NLP tasks increasingly rely on dense retrieval methods to access up-to-date and relevant contextual information. We are motivated by the premise that retrieval benefits from segments that can vary in size such that a content's semantic indepen
Externí odkaz:
http://arxiv.org/abs/2406.17526
Despite attaining high empirical generalization, the sharpness of models trained with sharpness-aware minimization (SAM) do not always correlate with generalization error. Instead of viewing SAM as minimizing sharpness to improve generalization, our
Externí odkaz:
http://arxiv.org/abs/2406.06700
Autor:
Gondhalekar, Yash, Chies-Santos, Ana L., de Souza, Rafael S., Queiroz, Carolina, Lopes, Amanda R., Ferrari, Fabricio, Azevedo, Gabriel M., Monteiro-Pereira, Hellen, Overzier, Roderik, Castelli, Analía V. Smith, Jaffé, Yara L., Haack, Rodrigo F., Rahna, P. T., Shen, Shiyin, Mu, Zihao, Lima-Dias, Ciria, Barbosa, Carlos E., Schwarz, Gustavo B. Oliveira, Riffel, Rogério, Jimenez-Teja, Yolanda, Grossi, Marco, de Oliveira, Claudia L. Mendes, Schoenell, William, Ribeiro, Thiago, Kanaan, Antonio
We study 51 jellyfish galaxy candidates in the Fornax, Antlia, and Hydra clusters. These candidates are identified using the JClass scheme based on the visual classification of wide-field, twelve-band optical images obtained from the Southern Photome
Externí odkaz:
http://arxiv.org/abs/2406.04213
We investigate the dynamics of two-dimensional assemblies of rod-shaped magnetic colloids under the influence of an external rotating magnetic field. Using Molecular Dynamics, we simulate the formation of patterns that emerge based on the synchroniza
Externí odkaz:
http://arxiv.org/abs/2405.14998
Autor:
Afonso, Martim, Bhawsar, Praphulla M. S., Saha, Monjoy, Almeida, Jonas S., Oliveira, Arlindo L.
Whole Slide Images (WSI), obtained by high-resolution digital scanning of microscope slides at multiple scales, are the cornerstone of modern Digital Pathology. However, they represent a particular challenge to AI-based/AI-mediated analysis because p
Externí odkaz:
http://arxiv.org/abs/2404.01446