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pro vyhledávání: '"Lima João"'
This work addresses the challenge of capturing the complexities of legal knowledge by proposing a multi-layered embedding-based retrieval method for legal and legislative texts. Creating embeddings not only for individual articles but also for their
Externí odkaz:
http://arxiv.org/abs/2411.07739
Autor:
de Lima, João Paulo Cardoso, Morris III, Benjamin Franklin, Khan, Asif Ali, Castrillon, Jeronimo, Jones, Alex K.
Big data processing has exposed the limits of compute-centric hardware acceleration due to the memory-to-processor bandwidth bottleneck. Consequently, there has been a shift towards memory-centric architectures, leveraging substantial compute paralle
Externí odkaz:
http://arxiv.org/abs/2409.10136
In today's data-centric world, where data fuels numerous application domains, with machine learning at the forefront, handling the enormous volume of data efficiently in terms of time and energy presents a formidable challenge. Conventional computing
Externí odkaz:
http://arxiv.org/abs/2401.14428
The accuracy of neural networks has greatly improved across various domains over the past years. Their ever-increasing complexity, however, leads to prohibitively high energy demands and latency in von Neumann systems. Several computing-in-memory (CI
Externí odkaz:
http://arxiv.org/abs/2401.12630
Autor:
Farzaneh, Hamid, de Lima, João Paulo Cardoso, Li, Mengyuan, Khan, Asif Ali, Hu, Xiaobo Sharon, Castrillon, Jeronimo
Machine learning and data analytics applications increasingly suffer from the high latency and energy consumption of conventional von Neumann architectures. Recently, several in-memory and near-memory systems have been proposed to remove this von Neu
Externí odkaz:
http://arxiv.org/abs/2309.06418
We unveil how generalizable AI can be used to improve multi-view 3D pedestrian detection in unlabeled target scenes. One way to increase generalization to new scenes is to automatically label target data, which can then be used for training a detecto
Externí odkaz:
http://arxiv.org/abs/2308.04515
Using thermal tracers to estimate flow velocities of shallow flows: laboratory and field experiments
Publikováno v:
Journal of Hydrology and Hydromechanics, Vol 63, Iss 3, Pp 255-262 (2015)
Accurate measurement of shallow flows is important for hydraulics, hydrology and water resources management. The objective of this paper is to discuss a technique for shallow flow and overland flow velocity estimation that uses infrared thermography.
Externí odkaz:
https://doaj.org/article/c0bd722aaeb441d9872a836a308342bd
Autor:
Lima João L.M.P. de, Silva Valdemir P., Lima M. Isabel P. de, Abrantes João R.C.B., Montenegro Abelardo A.A.
Publikováno v:
Journal of Hydrology and Hydromechanics, Vol 63, Iss 3, Pp 220-227 (2015)
The infrared thermography has been successfully applied as a tool for high resolution imaging in different hydrological studies. This exploratory experimental study aimed at evaluating the possibility of using infrared thermography to determine the d
Externí odkaz:
https://doaj.org/article/cf3dfaa1debe423794ba412013f51146
Autor:
Jacks Soratto, Marilia Gabriel Teixeira, Elaine Borges Rodrigues, Natan Gonçalves De Lima João, Gastão Wagner de Sousa Campos
Publikováno v:
Interface: Comunicação, Saúde, Educação, Vol 28 (2024)
O estudo objetiva analisar comunicações visuais dispostas na recepção de Unidades Básicas de Saúde (UBS). Trata-se de um estudo qualitativo, realizado em 16 UBS do município de Içara, estado de Santa Catarina, Brasil. Foi realizado um registr
Externí odkaz:
https://doaj.org/article/eb90d2bbc9404bd88a2404a116436a8f