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Mostrando ítems 11-20 de 29
Monitoramento de vegetação invasora através das épocas com UAV e Deep Learning
(Universidade Federal de São Carlos, 2022-01-31)
Species originating from one biome are often irregularly introduced in other biomes, even if unintentionally, with the sole desire of their own consumption or for ornamental purposes. However, these species can end up ...
ThermalEdge: Uma solução em hardware para o reconhecimento de embriaguez em tempo real a partir de imagens térmicas utilizando edge computing
(Universidade Federal de São Carlos, 2022-09-30)
Alcohol consumption has presented problems for road safety, traffic enforcement can benefit from the development of methods for classifying the individual's status. In this way, recent advances in thermography associated ...
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, ...
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 ...
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 ...
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, ...
User eXperience em startups de software: um paralelo da literatura com a prática diária
(Universidade Federal de São Carlos, 2021-05-19)
Startups are companies designed for a new product or service and that aim to grow quickly in an uncertain environment, highly reactive, and often facing a lack of resources. Software startups face difficulties in incorporating ...
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 ...