Listar Artículos (Arquitectura y Tecnología de Computadores) por título
Mostrando ítems 86-105 de 221
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Data-driven color augmentation for H&E stained images in computational pathology
(ScienceDirect, 2023)Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-resolution digitized ...
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Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
(MDPI, 2020)The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify ...
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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 ...
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Designing and evaluating a wearable device for affective state level classification using machine learning techniques
(Elsevier, 2023-06)The emotional or affective state has a direct impact not only on personal life, but also in the field of work, sports, ...
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Developing Efficient Discrete Simulations on Multicore and GPU Architectures
(MDPI, 2020)In this paper we show how to efficiently implement parallel discrete simulations on multicoreandGPUarchitecturesthrougharealexampleofanapplication: ...
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Development and Evaluation of a Python Telecare System Based on a Bluetooth Body Area Network
(Springer, 2011)This paper presents a prototype of a telemonitoring system, based on a BAN (Body Area Network) that is integrated by ...
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Diagnosis Aid System for Colorectal Cancer Using Low Computational Cost Deep Learning Architectures
(MDPI, 2024-06)Colorectal cancer is the second leading cause of cancer-related deaths worldwide. To prevent deaths, regular screenings ...
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Diavideos: a Diabetes Health Video Portal
(IOS Press, 2013)Diavideos1 is a web platform that collects trustworthy diabetes health videos from YouTube and offers them in a easy way. ...
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Diseño e implementación de un simulador software basado en el procesador MIPS32
(Universidad de Granada, 2015)La arquitectura de computadores es una asignatura de gran importancia actualmente en las titulaciones de Informática. Pero ...
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Does Two-Class Training Extract Real Features? A COVID-19 Case Study
(MDPI, 2021-01)Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals ...
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Dual Machine-Learning system to aid Glaucoma Diagnosis using disc and cup feature extraction.
(IEEE Computer Society, 2020)Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The ...
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Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
(Cornell University, 2019)Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural ...
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ED-BioRob: A Neuromorphic Robotic Arm With FPGA-Based Infrastructure for Bio-Inspired Spiking Motor Controllers
(Frontiers Media, 2020-11)Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient way regarding the ...
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EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
(IEEE Xplore, 2020-12)Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for ...
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Editorial: Powering the next-generation IoT applications: new tools and emerging technologies for the development of Neuromorphic System of Systems
(Froontiers Media S.A., 2023-05)The brain, this 3-pound mass of tissue that can easily be held in one's palm, has an inherent computational complexity ...
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Effect of Device Mismatches in Differential Oscillatory Neural Networks
(IEEE, 2023-02)Analog implementation of Oscillatory Neural Networks (ONNs) has the potential to implement fast and ultra-low-power computing ...
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Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC
(MDPI, 2021-01)The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive ...
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Efficient simulation execution of cellular automata on GPU
(Elsevier, 2022)Graphics Processing Units (GPUs) can be used as convenient hardware accelerators to speed up Cellular Automata (CA) ...
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Embedded neural network for real-time animal behavior classification
(Elsevier, 2018)Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain ...
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Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring
(IET: The Institution of Engineering and Technology, 2012)The study presents a novel computational intelligence algorithm designed to optimise energy consumption in an environmental ...