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    Chapter and Conference Paper

    Automation of a Universal Testing Machine for Measuring Mechanical Properties in Textile Fibers

    The purpose of this paper is to design a control system to perform tensile and compression tests on textile fibers and sponges in a universal testing machine. In order to design the control system, a supervis...

    Liliana Topón-Visarrea, Mireya Zapata in Advances in Emerging Trends and Technologi… (2020)

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    Chapter and Conference Paper

    Design and Evaluation of a Heuristic Optimization Tool Based on Evolutionary Grammars Using PSoCs

    Currently, the evolutionary computing techniques are increasingly used in different fields, such as optimization, machine learning, and others. The starting point of the investigation is a set of optimization ...

    Bernardo Vallejo Mancero, Mireya Zapata in Artificial Life and Evolutionary Computati… (2020)

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    Chapter and Conference Paper

    Monitoring Implementation for Spiking Neural Networks Architecture on Zynq-7000 All Programmable SoCs

    This paper describes a Spiking Neural Networks (SNN) architecture mapped on a Zynq-7000 family of programmable system-on-chip (SoC) devices. The novel spike monitoring system based on AER Protocol, uses AXI4 S...

    Mireya Zapata, Bernardo Vallejo-Mancero in Intelligent Human Systems Integration 2021 (2021)

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    Chapter and Conference Paper

    Characterizing High-Speed Serial Transceivers for a Multi-processor Parallel Architecture

    Emulation of large scale neural networks is a growing research field that tries to understand how the brain works. Different approaches based on hardware and software have been developed for this purpose. How...

    Mireya Zapata, Bernardo Vallejo-Mancero in Human Systems Engineering and Design III (2021)

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    Chapter and Conference Paper

    Acceleration of Evolutionary Grammar Using an MISD Architecture Based on FPGA and Petalinuxs

    The evolutionary grammars are part of the optimization methods and searching for solutions based on the biological evolution postulates. The proposed technique is based on the genetic recombination’s concept ...

    Bernardo Vallejo-Mancero, Mireya Zapata in Advances in Artificial Intelligence, Softw… (2021)

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    Chapter and Conference Paper

    Real-Time Display of Spiking Neural Activity of SIMD Hardware Using an HDMI Interface

    Spiking neural networks (SNN) are considered the third generation of artificial networks and are powerful computational models inspired by the function and structure of biological neural networks, to solve dif...

    Bernardo Vallejo-Mancero, Clément Nader in Artificial Neural Networks and Machine Lea… (2022)

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    Chapter and Conference Paper

    Real-Time Adaptive Physical Sensor Processing with SNN Hardware

    Spiking Neural Networks (SNNs) offer bioinspired computation based on local adaptation and plasticity as well as close biological compatibility. In this work, after reviewing the Hardware Emulator of Evolving ...

    Jordi Madrenas, Bernardo Vallejo-Mancero in Artificial Neural Networks and Machine Lea… (2023)