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Um estudo comparativo entre as tecnologias Spring Boot e Quarkus na implementação do back-end de aplicações web com MongoDB
(2023-07-26)
The objective of this article is to compare the performance of two significant
technologies for Java application development: Quarkus and Spring Boot. To achieve
this, two applications with the same scope were built. One ...
Classificação de doenças respiratórias a partir de imagens raio-x de tórax usando redes neurais
(2024-09-17)
Early and accurate detection of respiratory diseases, such as COVID-19 and
pneumonia, is extremely important for effective treatment and control of the spread of
these diseases. With recent advances in machine learning ...
Identificação de deformidades em grãos de chips de resina PET com o uso de inteligência artificial
(2024-10-31)
This article addresses the use of machine learning to detect visual anomalies
in PET (polyethylene terephthalate) resin chips, which may be caused by
manufacturing, storage, or transportation issues. It has explanations ...
Mulheres na computação: uma análise dos fatores de ingresso, permanência e sucesso profissional
(2025-02-17)
This study aims to investigate the factors influencing the entry, persistence, and
success of women in the field of computing, as well as to identify the challenges they
face and the strategies they adopt throughout their ...
Armazenamento escalável de dados com Object Storage e tolerância a falhas: um estudo de caso em ambiente on-premise
(2025-02-11)
This article explores scalable data storage using Object Storage, with a specific focus
on fault tolerance. The theoretical analysis covers storage paradigms, emphasizing
the significance of Object Storage for efficient ...
Justiça em modelos de inteligência artificial: um estudo comparativo de técnicas de mitigação e suas implementações no contexto educacional
(2025-07-11)
Machine learning models are increasingly being used to influence decision-making
that directly and indirectly impacts people's lives. Specifically, decision-making
related to education can have a profound influence, both ...
Classificação de vocalizações em indivíduos com TEA: avaliação de modelos de machine learning
(2025-11-26)
This study investigates the application of machine learning techniques for classifying nonverbal vocalizations of minimally verbal individuals with Autism Spectrum Disorder (ASD). Based on the American ReCANVo dataset, six ...






