Buscar
Mostrando ítems 21-30 de 40
Ponencia
Spiking row-by-row FPGA Multi-kernel and Multi-layer Convolution Processor.
(IEEE Computer Society, 2019)
Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process an input stimulus from a scene, and the low power consumption of these kind of solutions. ...
Ponencia
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
(Springer, 2016)
The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems can track animal positions using GPS systems, the behavior classification is not a common task. For ...
Ponencia
Sistema informático móvil para el apoyo al cese tabáquico mediante mensajes motivacionales personalizados
(3ciencias. Editorial Área de Innovación y Desarrollo,S.L., 2018)
El proyecto SmokeFreeBrain estudia la efectividad de una variedad de intervenciones con el objetivo de dejar de fumar usando diferentes técnicas. Uno de los métodos consiste en la aplicación de un protocolo de intervención ...
Ponencia
Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks
(ScitePress Digital Library, 2019)
Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the mammography is used as the most efficient technique to identify abnormalities such as tumors. ...
Ponencia
Práctica de desarrollo de una red de sensores basada en la programación de microcontroladores para sistemas en tiempo real
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
Este artículo presenta una práctica de laboratorio impartida mediante una metodología de aprendizaje basado en proyectos cuyo objetivo principal es adqui rir la capacidad de programación de microcontrolado res para el ...
Ponencia
Multi-dataset Training for Medical Image Segmentation as a Service
(ScitePress Digital Library, 2019)
Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a great extent on the data sets used to train the used network. Nowadays many cloud service providers ...
Ponencia
A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging
(IEEE Computer Society, 2016)
Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or event-based representation and codification of the information. This codification allows performing ...
Ponencia
A SpiNNaker Application: Design, Implementation and Validation of SCPGs
(Springer, 2017)
In this paper, we present the numerical results of the implementation of a Spiking Central Pattern Generator (SCPG) on a SpiNNaker board. The SCPG is a network of current-based leaky integrateand- fire (LIF) neurons, ...
Ponencia
System based on inertial sensors for behavioral monitoring of wildlife
(IEEE Computer Society, 2015)
Sensors Network is an integration of multiples sensors in a system to collect information about different environment variables. Monitoring systems allow us to determine the current state, to know its behavior and sometimes ...
Ponencia
Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker
(IEEE Computer Society, 2022)
The human brain is the most powerful and efficient machine in existence today, surpassing in many ways the ca pabilities of modern computers. Currently, lines of research in neuromorphic engineering are trying to develop ...