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Mostrando ítems 1-10 de 10
Artículo
Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors
(IEEE Computer Society, 2017)
Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the ...
Artículo
A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
(IEEE Computer Society, 2017)
This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed completely in the spike domain. Unlike digital ...
Tesis Doctoral
Evaluación y análisis de una aproximación a la fusión sensorial neuronal mediante el uso de sensores pulsantes de visión / audio y redes neuronales de convolución
(2017-07-19)
En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep Learning, así como el uso de la fusión sensorial de forma eficiente utilizando dichos mecanismos. Para ...
Ponencia
Live demonstration — Multilayer spiking neural network for audio samples classification using SpiNNaker
(IEEE Computer Society, 2017)
In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. The network consists of different leaky integrate-and-fire neuron layers. The connections between ...
Ponencia
A Protocol Generator Tool for Automatic In-Vitro HPV Robotic Analysis
(Springer, 2017)
Human Papilloma Virus (HPV) could develop precancerous lesions and invasive cancer, as it is the main cause of nearly all cases of cervical cancer. There are many strains of HPV and current vaccines can only protect ...
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
Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets
(Springer, 2017)
Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different classification systems like neural networks, support vector machines or even complex statistical ...
Ponencia
Semi-wildlife gait patterns classification using Statistical Methods and Artificial Neural Networks
(IEEE Computer Society, 2017)
Several studies have focused on classifying behavioral patterns in wildlife and captive species to monitor their activities and so to understanding the interactions of animals and control their welfare, for biological ...
Artículo
A spiking neural network for real-time Spanish vowel phonemes recognition
(Elsevier, 2017)
This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spiking recognition neural network composed of three types of neurons is proposed. These neurons are based on an integrative ...
Artículo
NAVIS: Neuromorphic Auditory VISualizer Tool
(Elsevier, 2017)
This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors (NAS) information. The used NAS implements in FPGA a cascade filters architecture, imitating the ...