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Auditchain: um mecanismo para atestar a integridade de logs baseado na prova de existência em blockchain pública
(Universidade Federal de São Carlos, 2021-04-12)
Digital data are critical to people and companies, acting as a crucial element in the decisionmaking process in different areas. Thus, attesting to data integrity is crucial because forgery can result in significant losses. ...
Detecção de câncer de próstata em imagens de microscopia utilizando grafos de contexto glandular
(Universidade Federal de São Carlos, 2021-04-19)
Every year a large part of the male population is affected by Prostate Cancer (PCa), with many cases of deaths occurring especially in men over 40 years old. PCa is a pervasive condition that diffuses and manifests itself ...
Análise de uma implementação distribuída do algoritmo de detecção de novidade em fluxos de Dados MINAS para detecção de intrusão em um ambiente de névoa
(Universidade Federal de São Carlos, 2021-07-05)
The ongoing implementation of the Internet of Things (IoT) is sharply increasing
the number and variety of small devices on edge networks.
Likewise, the attack opportunities for hostile agents also grows, requiring ...
GSA: operacionalizando a gamificação em atividades do processo de desenvolvimento de software
(Universidade Federal de São Carlos, 2021-04-22)
Context: Software development companies are constantly seeking practices that improve the execution of their activities and, consequently, their processes. Several initiatives for using gamification have been observed in ...
Architectural redesign and evaluation of an open source MLOps platform: a case study of Apache Marvin-AI
(Universidade Federal de São Carlos, 2021-07-01)
Machine learning is a term linked to data science, a multidisciplinary area that encom-
passes knowledge of computer science, mathematics, and domain experience. Given this
multidisciplinary nature, a wide variety of ...
Avanços recentes em caracterização e classificação de imagens de texturas: explorando teoria da informação, aprendizado profundo e de variedades
(Universidade Federal de São Carlos, 2020-04-30)
The task of extracting features from images is a very important activity for many computer vision and image processing applications. Especially the characterization and identification of textures is a fundamental issue in ...
Um metamodelo para alinhamento de padrões de requisitos e padrões de testes e um framework para avaliação de metamodelos
(Universidade Federal de São Carlos, 2021-01-22)
A Software Requirement Pattern (SRP) is a feasible reuse approach that joins recurrent and high-quality software requirements from a set of applications. SRP is a widely investigated theme because it improves the quality ...
Melhoria do tratamento de obstáculos na abordagem de agrupamento de dados espaciais SWMU clustering
(Universidade Federal de São Carlos, 2020-08-20)
The technological has been improved considerably in recent years, providing the great benefits to several areas of application. Among these areas, agriculture had a great boost, enabling the increasing of the production ...
Atividades didáticas para o ensino de computação na pré-escola
(Universidade Federal de São Carlos, 2020-12-16)
In the 21st century, various activities involve the use of or depend on computer technologies to exist. In this scenario, although children are surrounded by computing, many are still passive users, that is, they do not ...
Neural networks for feature-extraction in multi-target classification
(Universidade Federal de São Carlos, 2020-08-21)
Multi-target learning is a prediction task where each data example is associated with multiple target-variables (outputs) simultaneously. One of the challenges in this research field is related to the high dimensionality ...