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AuthorAzevedo, Rodrigo Ferraz (1)Matos, Guilherme Mendes Vieira de (1)Pires, Pedro Reis (1)... View MoreSubjectAprendizado profundo (2)Deep learning (2)5G (1)... View MoreDate Issued
2021 (7)
CNPq SubjectsCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO (3)CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO (2)CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO (2)... View MoreGraduate ProgramPrograma de Pós-Graduação em Ciência da Computação - PPGCC-So (6)Programa de Pós-Graduação em Ciência da Computação - PPGCC (1)Document TypeDissertação (7)

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N-BEATS-RNN: deep learning for time series forecasting 

Sbrana, Attilio (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 ...
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Representação vetorial distribuída em sistemas de recomendação 

Pires, Pedro Reis (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 ...
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User eXperience em startups de software: um paralelo da literatura com a prática diária 

Saad, Jullia Gabriella de Oliveira (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 ...
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Avaliação em robótica educacional sobre a competência pensamento científico, crítico e criativo da BNCC 

Takatu, Deivison Shindi (Universidade Federal de São Carlos, 2021-09-28)
Educational Robotics is a regular subject in some Brazilian schools, helping Basic Education students to learn and develop skills. Considering that educational institutions in the country must apply the Common National ...
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Classificação de embriaguez a partir de imagens faciais usando redes neurais convolucionais: uma abordagem baseada em respostas fisiológicas induzidas pelo álcool 

Silva, Washington Rodrigo Dias da (Universidade Federal de São Carlos, 2021-09-24)
Due to population growth and an increasing motorized vehicle fleet worldwide, road safety is still a global challenge that persists despite the awareness campaigns and the legal enforcement instruments. Most of the road ...
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Slice como serviço em edge computing e dispositivos IoT com restrição de recursos 

Azevedo, Rodrigo Ferraz (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 ...
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In-Network IdentifiCation and chAining: um mecanismo de identificação de tráfego e encadeamento no plano de dados 

Matos, Guilherme Mendes Vieira de (Universidade Federal de São Carlos, 2021-10-27)
Inside the 5G Core (5GC) a myriad of (virtual) functions may be deployed so that different treatment can be given for traffic coming in and out to/from the Radio Access Network (RAN). One of these key functions is Service ...

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