Browsing Artículos (Arquitectura y Tecnología de Computadores) by Title
Now showing items 145-164 of 208
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NAVIS: Neuromorphic Auditory VISualizer Tool
(Elsevier, 2017)This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors ...
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Network traffic analysis and evaluation of a multi-user virtual environment
(Elsevier, 2012)Virtual world applications allow users to interact within a simulated world. Network responsiveness and reliability ...
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Neuromorphic adaptive spiking CPG towards bio-inspired locomotion
(Elsevier, 2022)In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in ...
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Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots
(Cornell University, 2021)In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in ...
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Neuromorphic LIF Row-by-Row Multiconvolution Processor for FPGA
(IEEE Computer Society, 2018)Deep Learning algorithms have become state-of-theart methods for multiple fields, including computer vision, speech recognition, ...
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Neuromorphic Low-Power Inference on Memristive Crossbars With On-Chip Offset Calibration
(IEEE, 2021-03)Monolithic integration of silicon with nano-sized Redox-based resistive Random-Access Memory (ReRAM) devices opened the ...
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Neuromorphic Silicon Neuron Circuits
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Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
(MDPI, 2019)Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of ...
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Neuronal Specialization for Fine-Grained Distance Estimation using a Real-Time Bio-Inspired Stereo Vision System
(MDPI, 2019)The human binocular system performs very complex operations in real-time tasks thanks to neuronal specialization and ...
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NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
(Elsevier, 2020)Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for ...
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Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
(Elsevier, 2022-11)Background: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other ...
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NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
(IEEE Computer Society, 2019)Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many stateof- the-art ...
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On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
(IEEE Computer Society, 2008)In this paper, a chip that performs real-time image convolutions with programmable kernels of arbitrary shape is ...
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On the Capability of Smartphones to Perform as Communication Gateways in Medical Wireless Personal Area Networks
(MDPI, 2014)This paper evaluates and characterizes the technical performance of medical wireless personal area networks (WPANs) that ...
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On the Design of Second Order Dynamics Reaction-Diffusion CNNs
(Springer, 1999)In this paper, a second order reaction-diffusion equation has been identified which is able to reproduce through parameter ...
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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 ...
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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 ...
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OpenNAS: Open Source Neuromorphic Auditory Sensor HDL code generator for FPGA implementations
(Elsevier, 2021)OpenNAS is an open-source tool for automatically generating the source files to create a Neuromorphic Auditory Sensor ...
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Optimization based on the minimum maximal k-partial-matching problem of finite states machines with input multiplexing
(Springer, 2022-06-02)Finite State Machines with Input Multiplexing (FSMIMs) were proposed in previous work as a technique for efficient mapping ...