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Healthcare 4.0 – desafios e oportunidades para a implantação da inteligência artificial em ambientes hospitalares
(Universidade do Vale do Rio dos Sinos, 2022-06-21)
Interest in artificial intelligence has increased in recent years from an event that is
known as the 4th Industrial Revolution or as it is also known as Industry 4.0. The health
area is different, and the search is not ...
Um modelo de rede neural para estimar a produtividade de milho a partir de imagens de satélite
(Universidade do Vale do Rio dos Sinos, 2022-09-26)
The soy moratorium has been an important instrument aimed at reducing deforestation in the Amazon biome. However, the existence of illegal deforestation of forests grows proportionally with the numbers of embargoed lands. ...
Inteligência artificial centrada no ser humano e sua aplicação no poder judiciário brasileiro: o exemplo do projeto do TRT da 4ª Região
(Universidade do Vale do Rio dos Sinos, 2022-10-31)
Artificial Intelligence (AI) is a reality in the judiciary, especially due to the advantages in efficiency gains. However, its use presents risks, such as the replacement of human decisions by the machine, biased results, ...
Inteligência artificial no Tribunal de Justiça do Rio Grande do Sul: desafios e possibilidades no atual estado da arte
(Universidade do Vale do Rio dos Sinos, 2021-03-30)
The aim of the dissertation is to identify which artificial intelligence (AI) projects
are being developed by the Court of Justice of the State of Rio Grande do Sul, it aiming
to build a document that can help the Court ...
ATHENA I: an architecture for real-time monitoring of physiological signals supported by artificial intelligence
(Universidade do Vale do Rio dos Sinos, 2022-03-22)
Wearable sensors may obtain reliable physiological signals to diagnose diseases and detect changes. Wearables can measure signs such as electrocardiogram, heart rate, electroencephalogram, electromyogram, or galvanic skin ...
Exploring text classification methods in oncological medical notes using machine learning and deep learning
(Universidade do Vale do Rio dos Sinos, 2020-08-24)
With the preventive and personalized medicine advances, and technological improvements enabling better interaction from patients with their healthcare information, the volume of healthcare data gathered has increased. A ...