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An event-based classifier for Dynamic Vision Sensor and synthetic data
(Frontiers Media, 2017)
This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) System capable of yielding good classification results when using both synthetic input data and real ...
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Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With Spiking Output
(IEEE Computer Society, 2014)
State-of-the-art image sensors suffer from significant limitations imposed by their very principle of operation. These sensors acquire the visual information as a series of “snapshot” images, recorded at discrete points ...
Artículo
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TPU Cloud-Based Generalized U-Net for Eye Fundus Image Segmentation
(IEEE Computer Society, 2019)
Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on these images as a cloud-based service we need to train with multiple datasets to increase the ...
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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 ...
Artículo
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Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review
(Elsevier, 2018)
Background: Recommender systems are information retrieval systems that provide users with relevant items (e.g., through messages). Despite their extensive use in the e-commerce and leisure domains, their application ...
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Synchronization of multihop wireless sensor networks at the application layer
(IEEE Computer Society, 2011)
Time synchronization is a key issue in wireless sensor networks; timestamping collected data, tasks scheduling, and efficient communications are just some applications. From all the existing techniques to achieve ...
Artículo
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Robotics software frameworks for multi-agent robotic systems development
(Elsevier, 2012)
Robotics is an area of research in which the paradigm of Multi-Agent Systems (MAS) can prove to be highly useful. Multi-Agent Systems come in the form of cooperative robots in a team, sensor networks based on mobile ...
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Finite Virtual State Machines
(Institute of Electronics, Information and Communication Engineers, 2012)
This letter proposes a new model of state machine called Finite Virtual State Machine (FVSM). A memory-based architecture and a procedure for generating FVSM implementations from Finite State Machines (FSMs) are presented. ...
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A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing.
(Wiley, 2011)
A large effort is devoted to the research of new computing paradigms associated with innovative nanotechnologies that should complement and/or propose alternative solutions to the classical Von Neumann/CMOS (complementary ...
Artículo
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The Potential of Self-Management mHealth for Pediatric Cystic Fibrosis: Mixed-Methods Study for Health Care and App Assessment
(JMIR Publications, 2019)
Background: Remote care services and patient empowerment have boosted mobile health (mHealth). A study of user needs related to mHealth for pediatric cystic fibrosis (PCF) identified the set of preferred features mobile ...