Prostate cancer is the second most frequent cancer in men worldwide after lung cancer. Its diagnosis is based on the ...

For some years now, the locomotion mechanisms used by vertebrate animals have been a major inspiration for the improvement ...

Neuromorphic engineering endeavors to integrate the computational prowess and efficiency inherent in biological neuronal ...

Background: The distinction between in situ melanoma (MIS) and invasive melanoma is challenging even for expert dermatologists. ...

Background: Among all the cancers known today, prostate cancer is one of the most commonly diagnosed in men. With modern ...

Sound source localization (SSL) is used in various applications such as industrial noise-control, speech detection in ...

The brain has great capacity for computation and efficient resolution of complex problems, far surpassing modern computers. ...

Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-resolution digitized ...

Este TFG se centra en al ámbito de la domótica, es decir, el conjunto de tecnologías y sistemas capaces de automatizar una ...

Múltiples lesiones neurológicas, como los Accidentes Cardíacos Vasculares (ACV), provocan una degeneración y/o atrofia de ...

Nowadays, sensors play a major role in several fields, such as science, industry and everyday technology. Therefore, ...

Neuromorphic systems are a viable alternative to conventional systems for real-time tasks with constrained resources. Their ...

One of the most interesting and still growing sci entific fields is neuromorphic engineering, which is focused on studying ...

In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in ...

Hearing can be considered as one of the most important senses since it plays a key role in the audiovisual learning process. ...

Neuromorphic computation processes sensors output in the spiking domain, which presents constraints in many cases when ...

The human brain is the most powerful and efficient machine in existence today, surpassing in many ways the ca pabilities ...

The correct identi cation of burst events is crucial in many scenarios, ranging from basic neuroscience to biomedical ...

Monitoring animals’ behavior living in wild or semi-wild environments is a very interesting subject for biologists who ...

Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases ...

The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive ...

Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with ...

El mundo ha cambiado desde la aparición del nue vo virus de la familia de los coronavirus (COVID-19), el cual fue declarado ...

Visualizing the output from event-based sensors and analyzing the information within it is crucial when developing ...

In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in ...

Este artículo presenta una práctica de laboratorio impartida mediante una metodología de aprendizaje basado en proyectos ...

OpenNAS is an open-source tool for automatically generating the source files to create a Neuromorphic Auditory Sensor (NAS) ...

Nowadays, sensors play a major role in several contexts like science, industry and daily life which benefit of their use. ...

El reciente Grado en Ingeniería de la Salud se originó con el planteamiento de cubrir la carencia de conoci miento sobre ...

In recent years tremendous efforts have been done to advance the state of the art for Natural Language Processing (NLP) ...

The brain is able to solve complex tasks in real time by combining different sensory cues with previously acquired knowledge. ...

The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is ...

Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for ...

Prostate cancer is currently one of the most commonly-diagnosed types of cancer among males. Although its death rate has ...

Autonomous robots have become a very popular topic within the artificial intelligence field. These systems are able to ...

In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution ...

This live demonstration presents an audio-guided neuromorphic robot: from a Neuromorphic Auditory Sensor (NAS) to locomotion ...

Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, ...

Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. ...

El cáncer de mama es una de las causas más frecuentes de mortalidad en las mujeres. Con la llegada de los sistemas ...

Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ...

Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process ...

Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the ...

Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a ...

In this paper we present a sub-system to convert audio information from low-power MEMS microphones with pulse density ...

Animals combine various sensory cues with previously acquired knowledge to safely travel towards a target destination. In ...

The human binocular system performs very complex operations in real-time tasks thanks to neuronal specialization and several ...

Along with the proliferation of mobile devices and wireless signal coverage, IoT devices, such as smart wristbands for ...

In stereo-vision processing, the image-matching step is essential for results, although it involves a very high computational ...

In this work, a novel distance estimation mechanism using received signal strength indication (RSSI) signals with ZigBee ...

In this work novel speech recognition and audio processing systems based on a spiking artificial cochlea and neural networks ...

Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations ...

Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain ...

Neural networks algorithms are commonly used to recognize patterns from different data sources such as audio or vision. ...

El proyecto SmokeFreeBrain estudia la efectividad de una variedad de intervenciones con el objetivo de dejar de fumar ...

Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of ...

In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. ...

Human Papilloma Virus (HPV) could develop precancerous lesions and invasive cancer, as it is the main cause of nearly all ...

In this paper, we present the numerical results of the implementation of a Spiking Central Pattern Generator (SCPG) on a ...

Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different ...

Several studies have focused on classifying behavioral patterns in wildlife and captive species to monitor their activities ...

This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors ...

La sociedad avanza, y este avance favorece la aparición de nuevas necesidades, las cuales son cubiertas por profesionales ...

Este artículo presenta una práctica laboratorio impartida mediante una metodología de aprendizaje basado en proyectos (ABP) ...

In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System ...

En el presente artículo se describe una práctica de laboratorio multitarea en el ámbito de las asignaturas de sistemas ...

The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems ...

Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or ...

The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wild animals ...

La enseñanza de asignaturas del ámbito de la informática está experimentando un gran cambio. La motivación del alumnado ...

Audio classification has always been an interesting subject of research inside the neuromorphic engineering field. Tools ...

The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wildlife animals ...

Sensors Network is an integration of multiples sensors in a system to collect information about different environment ...

En la coyuntura sanitaria y educacional en la que se encuentra la sociedad desde hace unos años, el Cam pus de Excelencia ...

ste artículo presenta la metodología empleada para dotar a nuestros alumnos, alumnos de la asignatura Diseño con ...

En este artículo se describe una práctica de labora torio para la docencia de sistemas operativos en tiempo real (RTOS) ...