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Mostrando ítems 1-10 de 33
Ponencia
Work-in-Progress: A Neuromorphic Approach of the Sound Source Localization Task in Real-Time Embedded Systems
(ACM Digital Library, 2019)
Autonomous robots have become a very popular topic within the artificial intelligence field. These systems are able to perform difficult or risky tasks that could be dangerous when done by humans or trained animals. ...
Artículo
Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model’s Complexity on Its Processing Speed
(MDPI, 2021-01)
Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases and 360,000 deaths in 2018. As it has been estimated, its mortality will double by 2040, mostly ...
Ponencia
Realización de un proyecto en grupo con carácter multidisciplinar para alumnos de Ingeniería de la Salud usando la metodología ABP
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2016)
La sociedad avanza, y este avance favorece la aparición de nuevas necesidades, las cuales son cubiertas por profesionales especializados en campos específicos, como médicos, ingenieros, profesores, etc. Pero cada ...
Ponencia
Live Demonstration: Neuromorphic Row-by-Row Multi-convolution FPGA Processor-SpiNNaker architecture for Dynamic-Vision Feature Extraction
(IEEE Computer Society, 2019)
In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution processor, based on leaky integrate and fire neurons (LIF) and a SpiNNaker board is presented. The ...
Tesis Doctoral
Neuromorphic auditory computing: towards a digital, event-based implementation of the hearing sense for robotics
(2022-09-23)
In this work, it is intended to advance on the development of the neuromorphic audio processing systems in robots through the implementation of an open-source neuromorphic cochlea, event-based models of primary auditory ...
Ponencia
Live Demonstration: neuromorphic robotics, from audio to locomotion through spiking CPG on SpiNNaker.
(IEEE Computer Society, 2019)
This live demonstration presents an audio-guided neuromorphic robot: from a Neuromorphic Auditory Sensor (NAS) to locomotion using Spiking Central Pattern Generators (sCPGs). Several gaits are generated by sCPGs ...
Artículo
An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems
(IEEE Computer Society, 2022)
Neuromorphic systems are a viable alternative to conventional systems for real-time tasks with constrained resources. Their low power consumption, compact hardware realization, and low-latency response characteristics are ...
Artículo
Wide and Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
(Elsevier, 2021)
Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with almost 1.41 million new cases and around 375,000 deaths in 2020. Artificial Intelligence algorithms ...
Ponencia
Control neuromórfico del brazo robótico BIOROB del Citec de la Universidad de Bielefeld
(3 ciencias. Área de Innovación y Desarrollo,S.L, 2019)
Los sistemas neuronales biológicos responden a estímulos de una forma rápida y eficiente en el movimiento motor del cuerpo, comparado con los sistemas robóticos clásicos, los cuales requieren una capacidad de computación ...
Ponencia
Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach
(IEEE Computer Society, 2018)
Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations of current automatic speech recognition systems, like non-real time cloud-based solutions or ...