Zobrazeno 1 - 10
of 340 506
pro vyhledávání: '"Moreira, AS"'
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
Autor:
Cardoso, Victor Júnio Alcântara, Moreira, Rodrigo, Mari, João Fernando, Moreira, Larissa Ferreira Rodrigues
Publikováno v:
Encontro Nacional de Intelig\^encia Artificial e Computacional (ENIAC) 2023
Sickle cell anemia, which is characterized by abnormal erythrocyte morphology, can be detected using microscopic images. Computational techniques in medicine enhance the diagnosis and treatment efficiency. However, many computational techniques, part
Externí odkaz:
http://arxiv.org/abs/2412.17975
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
Autor:
Moreira, Rodrigo, Moreira, Larissa F. Rodrigues, Carvalho, Tereza C., Silva, Flávio de Oliveira
Modern network architectures have shaped market segments, governments, and communities with intelligent and pervasive applications. Ongoing digital transformation through technologies such as softwarization, network slicing, and AI drives this evolut
Externí odkaz:
http://arxiv.org/abs/2412.16716
Autor:
Monteiro, Daniel Pereira, Saar, Lucas Nardelli de Freitas Botelho, Moreira, Larissa Ferreira Rodrigues, Moreira, Rodrigo
Novel applications demand high throughput, low latency, and high reliability connectivity and still pose significant challenges to slicing orchestration architectures. The literature explores network slicing techniques that employ canonical methods,
Externí odkaz:
http://arxiv.org/abs/2412.16673
The diagnosis of diseases in food crops based on machine learning seemed satisfactory and suitable for use on a large scale. The Convolutional Neural Networks (CNNs) perform accurately in the disease prediction considering the image capture of the cr
Externí odkaz:
http://arxiv.org/abs/2412.07872
Autor:
Lana, Gabriela Moreira, Meissner, Cornelia, Iyer, Siddhant, Hu, Xin, Jhaveri, Perin, Tibbits, Skylar, Crosby, Alfred J.
Natural systems, such as tendons and spider silk, demonstrate how the combination of strength and stretchability can be effectively achieved by integrating stiff and flexible network structures. Inspired by these systems, we developed a novel, solven
Externí odkaz:
http://arxiv.org/abs/2501.01522
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
Context. The dissolution rate of open clusters (OCs) and integration of their stars into the Milky Way's field population has been previously explored using their age distribution. With the advent of the Gaia mission, we have an exceptional opportuni
Externí odkaz:
http://arxiv.org/abs/2412.19204
In this work, we explore both the internal and external atomic degrees of freedom to observe entanglement between the modes produced by a mirrorless optical parametric oscillator (MOPO) operating below the oscillation threshold in a sample of free sp
Externí odkaz:
http://arxiv.org/abs/2412.18683