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Mostrando ítems 181-190 de 216
Artículo
Low-Power Embedded System for Gait Classification Using Neural Networks
(MDPI, 2020)
Abnormal foot postures can be measured during the march by plantar pressures in both dynamic and static conditions. These detections may prevent possible injuries to the lower limbs like fractures, ankle sprain or plantar ...
Artículo
Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model
(IEEE Computer Society, 2019)
Recommender systems are gaining traction in healthcare because they can tailor recommendations based on users' feedback concerning their appreciation of previous health-related messages. However, recommender systems are ...
Artículo
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is ...
Artículo
Generating (co)homological information using boundary scale
(Elsevier, 2020)
In this paper we develop a new computational technique called boundary scale-space theory. This tech- nique is based on the topol1 ogical paradigm consisting of representing a geometric subdivided object K using a one-parameter ...
Artículo
Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform
(Elsevier, 2018)
This paper proposes a real-time sound source localization and tracking architecture based on the abilityof the mammalian auditory system using the interaural intensity difference. We used an innovative bin- aural Neuromorphic ...
Artículo
Laser Dynamics from a Membrane Computing Perspective
(IMCS. International Membrane Computational Society, 2018)
Modelling real systems and processes is a task classically performed through the approach of di erential equation systems, de ning the evolution of di erent variables as the di erent components of the system. A bad feature ...
Artículo
COVID-XNet: a custom Deep Learning system to diagnose and locate COVID-19 in chest X-ray images
(MDPI, 2020-08)
The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is crucial in order to prevent new outbreaks and control its rapid spread. Medical imaging techniques, ...
Artículo
On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
(Elsevier, 2022)
Falls are current events that can lead to severe injuries and even accidental deaths among the population, especially the elderly. Since them usually live alone and their contact with other people has decreased since ...
Artículo
A CMOS-memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity
(Royal Society Publishing, 2022)
This paper describes a fully experimental hybrid system in which a 4 × 4 memristive crossbar spiking neural network (SNN) was assembled using custom high-resistance state memristors with analogue CMOS neurons fabricated ...
Artículo
Bioinspired Spike-Based Hippocampus and Posterior Parietal Cortex Models for Robot Navigation and Environment Pseudomapping
(John Wiley and Sons Inc, 2023)
The brain has great capacity for computation and efficient resolution of complex problems, far surpassing modern computers. Neuromorphic engineering seeks to mimic the basic principles of the brain to develop systems capable ...