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Recolector de Ciencia Abierta, RECOLECTA
Other ORP type . 2024 . Peer-reviewed
Data sources: Recolector de Ciencia Abierta, RECOLECTA
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DIGITAL.CSIC
Other ORP type . 2024 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Claim

Bases de datos en investigación: Recursos naturales

appsOther research productkeyboard_double_arrow_right Other ORP type 01 Jan 2024 Spain Spanish Publisher:CSIC - Plataforma Temática Interdisciplinar del CSIC Ciencia e Innovación digital (PTI-Ciencia Digital)
Authors: Jiménez-Jorquera, Cecilia;

handle: 10261/372188

Bases de datos en investigación: Recursos naturales

Abstract

En este curso presenté las ventajas de la combinación de sistemas mutisensores y redes neuronales (RRNN) para la monitorización de aguas o de procesos industriales como la acuicultura. Se describió la importancia de la monitorización del agua de una forma precisa y rápida para detectar contaminantes y predecir eventos de contami-nación, se realizó un resumen de los sensores existentes para esta aplicación y de los sensores fabricados con tecnología microelectrónica, y se explicó como los metodos de “machine learning” y en concreto las RRNN permiten corregir las deficiencias de los sensores y predecir contaminantes con gran exactitud.

Curso de verano UIMP organizado por la PTI Ciencia e Innovación Digital con el soporte del departamento de Postgrado del CSIC en la sede de Santander de la Universidad Internacional Menéndez Pelayo. 26-28 de agosto del 2024, Santander, Cantabria.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Monitorización de aguas, Tecnología microelectrónica, Research, Open data, Investigación, Redes neuronales, Multisensores, Data science, Ciencia de datos

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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