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Übung: Lineare Gleichungsysteme
Übung: Lineare Gleichungsysteme
Übung: Lineare Gleichungssysteme
Dmitrij Moreinis
Actividad Extra Distribución Agave.
Actividad Extra Distribución Agave.
Computo Forense Agave
Mariana
Sovereign Credit Risk Measures
Sovereign Credit Risk Measures
Specialisation Project ENSIMAG 2016.
Cyprien COURTOT, Florian GRUNENWALD & Michaël HERBEAUX
Giroscópio
Giroscópio
Apresentação em português usando um modelo de slide no formato de quadro negro. (See also the Blackboard beamer theme and the original Github page.)
Paulo Freitas Gomes
Lab 2 Fisica
Lab 2 Fisica
Laboratorio de Fisica.
Maritza
DADOS DO DRAWBACK SUSPENSÃO E ISENÇÃO
DADOS DO DRAWBACK SUSPENSÃO E ISENÇÃO
Template para o relatório de drawback.
Fernando Oliveira
Flex shape gripper
Flex shape gripper
Este trabajo presenta la aplicación de un conjunto de articulos con propias teorías de los robots manipuladores y el modelamiento de pinzas. Para ello el brazo humano se modela como un robot manipulador redundante. En particular se aplica el concepto de índices de desempeño para predecir posturas óptimas del brazo durante la realización de tareas. En el estudio se incluyen tanto estructuras estáticas, como tambien los analisis de estabilidad del brazo y los materiales para su respectiva realizacion. This work presents the application of a set of articles with the own theories of the manipulative robots and the modeling of tweezers. For this, the bearing is modeled as a redundant manipulator robot. In particular, the concept of performance indices is applied to predict the optimal postures of the task during the performance of tasks. The study includes both static structures, as well as safety management analyzes and materials for their respective realization.
Alex Villarroel Coca
Qualificação - Reconhecimento de Cenários baseado nas Localizações dos Fornecedores do Governo Federal
Qualificação - Reconhecimento de Cenários baseado nas Localizações dos Fornecedores do Governo Federal
In most corruption scandals, the use of front companies for money laundering is almost ubiquitous. This work proposes to apply image classification to detect such organizations, through the use of Convolutional Neural Networks (CNN), namely the AlexNet architecture. The images are obtained by address search in Google Street View API, and the resulting classification will be further used along with other features to detect front com- panies in order to help the auditors from the Ministry of Transparency and Office of the Comptroller General (CGU, in Portuguese). To this moment, we applied classification to almost 15 thousand suppliers scenes with active contracts with the Brazilian Government until September 2016, obtained through data matching between the Government Purchases database and the Brazilian Federal Revenue Office database (more recent scenes should be added as this work progresses). Preliminary results with a pre-trained AlexNet CNN show the need for developing new scene classes more suited to the Brazilian context. In order to do this, we propose to apply clustering algorithms in features extracted from the last fully-connected layer of this net. The classes obtained will be used to fine-tune the AlexNet CNN for future classification, through the use of training from scratch or fine tuning techniques.
Rodrigo Peres Ferreira
Trabalho de Computação 2
Trabalho de Computação 2
Trabalho apresentado ao currículo da Disciplina de Programação de Computadores 2
Egmon Pereira

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