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A gaussian process emulator for estimating the volume of tissue activated during deep brain stimulationA gaussian process emulator for estimating the volume of tissue activated during deep brain stimulation
(Pereira : Universidad Tecnológica de PereiraFacultad de Ingenierías Eléctrica, Electrónica y Ciencias de la ComputaciónMaestría en Ingeniería Eléctrica, 2016)
Estimation of the neuromodulation parameters from the planned volume of tissue activated in deep brain stimulation
(Pereira : Universidad Tecnológica de PereiraFacultad de Ingenierías Eléctrica, Electrónica y Ciencias de la ComputaciónMaestría en Ingeniería Eléctrica, 2016)
Desarrollo de una plataforma digital para el análisis de tendencias políticas en las redes sociales Twitter y Facebook usando técnicas de procesamiento de lenguaje natural
(2022-05)
The following research allows to create a web application that extracts comments of political candidates from the social networks Twitter and Facebook; obtains and classifies into topics using the intelligent LDA algorithm ...
Comparação de desempenho do algoritmo Deep Q-Learning em ambientes simulados com estados contínuos
(Universidade Tecnológica Federal do ParanáPato BrancoBrasilDepartamento Acadêmico de InformáticaEngenharia de ComputaçãoUTFPR, 2022-06-24)
Reinforcement learning emerged in the 1980s and is one of three main areas of machine learning, the other two being supervised and unsupervised learning. Reinforcement problems have unique characteristics, such as the ...
Estimação de idade e reconhecimento de pele em Imagens digitais a partir de deep learning
(Universidade Tecnológica Federal do ParanáMedianeiraBrasilCiência da ComputaçãoUTFPR, 2019-11-29)
With the technological evolution of digital media, such as social networks and online communities, privacy and security on the Internet have become issues of debate regarding infrastructure and regulation by legislative ...
Sistema de detecção de intrusão baseado em redes neurais
(Florianópolis, SC, 2012)
Desarrollo de un sistema de detección de armas de fuego cortas en el monitoreo de videos de cámaras de seguridad
(2018-12)
This document presents the development of a firearms detection system using convolutional neural networks. We proceed to the creation of a database of images, we analyze different network structures. The results show that ...
Diseño e implementación de un sistema de control de acceso mediante reconocimiento facial para la academia Titanes Cuenca
(2022-12)
Development and implementation of an access control system through neural networks, when comparing the image of the camera with the database, the electromagnetic lock is activated or not, allowing access to the establishment. ...
Predicción de las materias primas que deben presupuestarse de acuerdo a las ventas de una compañía farmacéutica
(Medellín - Colombia, 2022)
Identificação de quedas de pessoas via aprendizagem de máquina
(Universidade Tecnológica Federal do ParanáCuritibaBrasilEngenharia de Controle e AutomaçãoUTFPR, 2019-06-26)
The main objective in the development of this work was to train an artificial convolutional neural network, in the field of deep learning, with the purpose of identifying possible people falling on the floor, especially ...