Zobrazeno 1 - 10
of 370 461
pro vyhledávání: '"Oliveira, P. A. P."'
Autor:
Lopes, C. E. Ferreira, Gutiérrez-Soto, L. A., Alberice, V. S. Ferreira, Monsalves, N., Hazarika, D., Catelan, M., Placco, V. M., Limberg, G., Almeida-Fernandes, F., Perottoni, H. D., Castelli, A. V. Smith, Akras, S., Alonso-García, J., Cordeiro, V., Arancibia, M. Jaque, Daflon, S., Dias, B., Gonçalves, D. R., Machado-Pereira, E., Lopes, A. R., Bom, C. R., de Souza, R. C. Thom, de Isídio, N. G., Alvarez-Candal, A., De Rossi, M. E., Bonatto, C. J., Palma, B. Cubillos, Fernandes, M. Borges, Humire, P. K., Schwarz, G. B. Oliveira, Schoenell, W., Kanaan, A., de Oliveira, C. Mendes
Context. Spectroscopic surveys like APOGEE, GALAH, and LAMOST have significantly advanced our understanding of the Milky Way by providing extensive stellar parameters and chemical abundances. Complementing these, photometric surveys with narrow/mediu
Externí odkaz:
http://arxiv.org/abs/2411.18748
Autor:
Toledo, Rafael S., Oliveira, Cristiano S., Oliveira, Vitor H. T., Antonelo, Eric A., von Wangenheim, Aldo
Autonomous driving needs good roads, but 85% of Brazilian roads have damages that deep learning models may not regard as most semantic segmentation datasets for autonomous driving are high-resolution images of well-maintained urban roads. A represent
Externí odkaz:
http://arxiv.org/abs/2411.16295
Publikováno v:
WORKSHOP DE VIS\~AO COMPUTACIONAL (WVC) 2020
The network traffic classification allows improving the management, and the network services offer taking into account the kind of application. The future network architectures, mainly mobile networks, foresee intelligent mechanisms in their architec
Externí odkaz:
http://arxiv.org/abs/2412.19360
Memory-centric computing aims to enable computation capability in and near all places where data is generated and stored. As such, it can greatly reduce the large negative performance and energy impact of data access and data movement, by 1) fundamen
Externí odkaz:
http://arxiv.org/abs/2412.19275
Autor:
Moreira, Rodrigo, da Cunha, Hugo G. V. O., Moreira, Larissa F. Rodrigues, Silva, Flávio de Oliveira
Publikováno v:
International Conference on Advanced Information Networking and Applications (AINA-2022)
Monitoring heterogeneous infrastructures and applications is essential to cope with user requirements properly, but it still lacks enhancements. The well-known state-of-the-art methods and tools do not support seamless monitoring of bare-metal, low-c
Externí odkaz:
http://arxiv.org/abs/2412.19226
Publikováno v:
Proceedings IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2020
Depression is a global health concern with a critical need for increased patient screening. Speech technology offers advantages for remote screening but must perform robustly across patients. We have described two deep learning models developed for t
Externí odkaz:
http://arxiv.org/abs/2412.19072
Autor:
Rutowski, Tomek, Shriberg, Elizabeth, Harati, Amir, Lu, Yang, Oliveira, Ricardo, Chlebek, Piotr
Publikováno v:
Proceedings IEEE Spoken Language Technology Workshop (SLT), 2021
Deep learning models are rapidly gaining interest for real-world applications in behavioral health. An important gap in current literature is how well such models generalize over different populations. We study Natural Language Processing (NLP) based
Externí odkaz:
http://arxiv.org/abs/2412.19070
We discuss the proximal game and semi-proximality in $\Psi$-spaces of almost disjoint families over an infinite countable set and $\Psi$-spaces of ladder systems on $\omega_1$. We show that a semi-proximal almost disjoint families must be nowhere MAD
Externí odkaz:
http://arxiv.org/abs/2412.18982
Autor:
Benea, Cristina, Oliveira, Itamar
We prove the boundedness of a trilinear operator that is modulation invariant and which contains curvature information given by the presence of a complex exponential, adding to the small class of examples of such operators.
Externí odkaz:
http://arxiv.org/abs/2412.18079
Publikováno v:
Workshop de Redes 6G (W6G) 2024
Artificial Intelligence (AI) is pivotal in advancing mobile network systems by facilitating smart capabilities and automation. The transition from 4G to 5G has substantial implications for AI in consolidating a network predominantly geared towards bu
Externí odkaz:
http://arxiv.org/abs/2412.17967