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Uma proposta para a coexistência de múltiplas Arquiteturas de Internet do Futuro
(Universidade Federal de São Carlos, 2020-06-26)
The current Internet architecture has been the same since the time of its creation and has undergone increments and modifications in its protocols to meet new demands that have been arising over time. As the resolution of ...
Abordagem colaborativa para segmentação de áreas degradadas e regeneradas
(Universidade Federal de São Carlos, 2020-05-27)
Forests have huge environmental, social and economic importance. However, over the years they have been destroyed and transformed into pastures, agricultural fields, etc. Due to the popularity of remote sensing images, ...
Linking User Stories to UX elements: Recommendations to Reduce the Virtual Navigational Distances
(Universidade Federal de São Carlos, 2020-03-27)
Agile practices are approaches widely used in industrial context. User Stories (US) are valuable artifacts to agile teams, being a succinct description of a requirement with its details complemented by other artifacts. ...
Visualização de informações para acompanhamento de alunos em ambientes de aprendizagem eletrônica
(Universidade Federal de São Carlos, 2020-04-24)
The Information Visualization area studies ways to present data graphically in an efficient way to assist the user in decision making. Education professionals have been increasingly interested in the inclusion of visualization ...
Proposta de atividades para auxiliar o ensino de Matemática utilizando conceitos de Pensamento Computacional e robô programável
(Universidade Federal de São Carlos, 2020-03-25)
The country's education is central topic of many discussions due to the complexity associated with its multiple variables.The Programme for International Student Assessment - PISA - is one of the most relevant indicators, ...
ML-MDLText: um método de classificação de textos multirrótulo de aprendizado incremental
(Universidade Federal de São Carlos, 2020-03-27)
Single-label text classification has been extensively studied in the last decades and usually more attention has been given to offline learning scenarios, where all of the training data is available in advance. However, ...
Validação distribuída do algoritmo paxos no modelo arbitrário não malicioso
(Universidade Federal de São Carlos, 2020-11-03)
Distributed algorithms have been increasingly used because of commercial and technical factors, especially when the aim is to obtain scalability or high availability of data. Regarding high scalability, stands out the ...
Representação vetorial distribuída em sistemas de recomendação
(Universidade Federal de São Carlos, 2021-03-26)
Today, with the constant growth in the number of available digital content and ease of access to a huge amount of data, it is increasingly difficult to find relevant information. From this problem, recommender systems ...
Slice como serviço em edge computing e dispositivos IoT com restrição de recursos
(Universidade Federal de São Carlos, 2021-07-30)
A new concept that describes a federated framework that provides computing (processing), networking, and storage as a virtual slice framework, Cloud Network Slicing (CNS) enables new approaches to IoT applications and ...
N-BEATS-RNN: deep learning for time series forecasting
(Universidade Federal de São Carlos, 2021-01-27)
This work presents N-BEATS-RNN, an extended version of an ensemble of deep learning networks for time series forecasting, N-BEATS. We apply a state-of-the-art Neural Architecture Search, based on a fast and efficient ...