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ESIREOS: Avaliação internal, eficiente e escalável de métodos não supervisionados de detecção de anomalias
(Universidade Federal de São Carlos, 2023-05-25)
Anomaly (outlier) detection is one of the main problems in data mining. Since anomalies can translate into important information in numerous fields, several methods were developed to identify them, especially unsupervised ...
Productive Crop Field Detection
(Universidade Federal de São Carlos, 2024-01-15)
In precision agriculture, detecting productive crop fields is an essential practice that
allows the farmer to evaluate operating performance separately and compare different
seed varieties, pesticides, and fertilizers. ...
Aludel: transparent crypto-offloading for enhanced legacy application security
(Universidade Federal de São Carlos, 2024-03-26)
This dissertation explores the essential role of Transport Layer Security (TLS) in securing web applications. Our focus is on exploring the potential of kernel TLS (kTLS) offloading to alleviate resource usage, including ...
Replicação síncrona para sistemas de armazenamento chave-valor em memória primária
(Universidade Federal de São Carlos, 2023-04-28)
In response to consistency and replication challenges found in Redis, this paper addresses the use of synchronous replication as a strategy to provide fully data consistency to a database, with the option of on disk data ...
Learning trajectories visualizations of visual programming on the computational thinking context
(Universidade Federal de São Carlos, 2020-05-29)
The ever growing importance of computers and their use created a need for the teaching of computational thinking. In order to better analyze the learning process of the students, teachers and researches often resort to ...
Avaliação do impacto da seleção de partições base em ensemble multiobjetivo
(Universidade Federal de São Carlos, 2018-02-23)
Unsupervised data clustering is not a trivial process, as no previous knowledge is available
and real data is often complex and multi-faceted. To make matters worse, traditionally,
clustering aims to describe the data ...
Extending User Interface Design Patterns with accessibility recommendations to guide mobile developers
(Universidade Federal de São Carlos, 2018-03-19)
With the dissemination of mobile devices and the migration of activities that were once executed only on desktop computers to smartphones and tablets, the concerns related to accessibility in this environments have increased. ...
Aprendiz de descritores de mistura gaussiana
(Universidade Federal de São Carlos, 2017-12-14)
For the last decades, many Machine Learning methods have been proposed aiming categorizing data. Given many tentative models, those methods try to find the one that fits the dataset by building a hypothesis that predicts ...
A contribuição de stakeholders não técnicos na elicitação de aspectos da experiência do usuário: uma abordagem usando proto-personas
(Universidade Federal de São Carlos, 2018-02-06)
The requirements elicitation is a main step in an application development. Usually the requirements are listed and described with little to none participation of the stakeholders that have knowledge of the application’s ...
Ferramenta AcheSeuEcoponto: auxiliando a população e o gestor público na destinação adequada dos resíduos sólidos.
(Universidade Federal de São Carlos, 2014-12-15)
The population growth combined with the industrial development and the increasing consumption caused several problems related to the solid waste management such as inadequate disposal. Due to global pressures and new polices ...