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Ponencia
Multidataset Incremental Training for Optic Disc Segmentation
(Springer, 2020)
When convolutional neural networks are applied to image segmentation results depend greatly on the data sets used to train the networks. Cloud providers support multi GPU and TPU virtual machines making the idea of ...
Ponencia
Experimental Body-input Three-stage DC offset Calibration Scheme for Memristive Crossbar
(IEEE, 2020)
Reading several ReRAMs simultaneously in a neuromorphic circuit increases power consumption and limits scalability. Applying small inference read pulses is a vain attempt when offset voltages of the read-out circuit are ...
Artículo
Enhanced Linearity in FD-SOI CMOS Body-Input Analog Circuits - Application to Voltage-Controlled Ring Oscillators and Frequency-Based sigma Delta ADCs
(Institute of Electrical and Electronics Engineers, 2020)
Abstract— This paper investigates the use of the body terminal of MOS transistors to improve the linearity of some key circuits used to implement analog and mixed-signal circuits integrated in Fully Depleted Silicon on ...
Ponencia
A Topologically Consistent Color Digital Image Representation by a Single Tree
(Springer, 2021)
A novel, flexible (non-unique) and topologically consistent representation called CRIT (Contour-Region incidence Tree) for a color 2D digital image I is defined here. The CRIT is a tree containing all the inter and intra ...
Ponencia
SciArt: Prácticas transdisciplinares en la sinergia del Arte y la Ciencia
(Universidad de La Laguna, 2022)
Una posible definición del término SciArt incluiría su caracterización como práctica post-disciplinar y post-mediática fusionando elementos típicamente asociados con las Artes y las Ciencias, generando una investigación ...
Ponencia
Utilizando los pilares del Pensamiento Computacional durante la vuelta a las clases presenciales: Reporte de experiencia desde Educación Primaria
(Sociedade Brasileira de Computação, 2022-11)
Este artículo presenta los resultados de la aplicación de una yincana realizada en dos etapas con miras a la adaptación escolar a la llamada 'nueva normalidad' tras el regreso a la escuela de los alumnos de Educación ...
Ponencia
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker
(IEEE Computer Society, 2022)
One of the most interesting and still growing sci entific fields is neuromorphic engineering, which is focused on studying and designing hardware and software with the purpose of mimicking the basic principles of biological ...
Ponencia
Syntactic Analysis of Digital Artworks
(ARTECH, 2021-10)
Digital artworks have specific features to be analyzed compared to others. In current paper, a methodology for analyzing digital artworks is presented. Firstly, some features proposed by relevant academics are reviewed. ...
Ponencia
Semipresencialidad en tiempos de COVID-19: adaptación de la docencia en el ámbito de Fundamentos de Informática
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
El mundo ha cambiado desde la aparición del nue vo virus de la familia de los coronavirus (COVID-19), el cual fue declarado pandemia en tan sólo unos po cos meses. El COVID-19 ha tenido un alto impacto en todos los ámbitos ...
Ponencia
Improved Least-Square DV-Hop Algorithm for Localization in large scale wireless sensor network
(IEEE Xplore, 2022-08)
Certain applications of wireless sensor networks require that the sensor nodes should be aware of their position relative to the sensor environment. Generally in the applications of positioning in the internet of things ...