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dc.contributor.author Malfante, Marielle
dc.contributor.author Dalla Mura, Mauro
dc.contributor.author Metaxian, Jean-Phillipe
dc.contributor.author Mars, Jerome I.
dc.contributor.author Macedo Sánchez, Orlando Efraín
dc.contributor.author Inza Callupe, Lamberto Adolfo
dc.date.accessioned 2018-08-07T17:11:23Z
dc.date.available 2018-08-07T17:11:23Z
dc.date.issued 2018-03
dc.identifier.govdoc index-oti2018
dc.identifier.issn 15580792
dc.identifier.uri http://repositorio.igp.gob.pe/handle/IGP/2301
dc.description En: IEEE Signal Processing Magazine, v. 35, n. 2 (March 2018), p. 20-30. es_ES
dc.description.abstract "Environmental monitoring is a topic of increasing interest, especially concerning the matter of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with innovative and operational tools are needed to monitor, mitigate, and prevent risks related to volcanic hazards. In general, the current approaches for volcanoes monitoring are mainly based on the manual analysis of various parameters, including gas leaps, deformations measurements, and seismic signals analysis. However, due to the large amount of data acquired by in situ sensors for long-term monitoring, manual inspection is no longer a viable option. As in many big data situations, classic machine-learning approaches are now considered to automatize the analysis of years of recorded signals, thereby enabling monitoring on a larger scale." es_ES
dc.format application/pdf es_ES
dc.language.iso eng es_ES
dc.publisher Instituto de Ingenieros Eléctricos y Electrónicos (IEEE) es_ES
dc.relation.uri https://ieeexplore.ieee.org/abstract/document/8310698 es_ES
dc.relation.uri https://ieeexplore.ieee.org/abstract/document/8310698 es_ES
dc.rights info:eu-repo/semantics/restrictedAccess es_ES
dc.rights.uri info:eu-repo/semantics/restrictedAccess es_ES
dc.source Repositorio institucional - IGP es_ES
dc.subject Mitigación de riesgos es_ES
dc.subject Procesamiento de señales--Técnicas digitales es_ES
dc.subject Procesamiento adaptativo de la señal es_ES
dc.subject Algoritmos es_ES
dc.subject Tierra (Planeta)--Estructura interna es_ES
dc.subject Monitoreo ambiental es_ES
dc.subject Volcanes--Monitoreo es_ES
dc.subject Deformaciones (Mecánica) es_ES
dc.subject Vulcanismo--Sensoramiento remoto es_ES
dc.subject Teledetección--Procesamiento de datos es_ES
dc.title Machine learning for volcano-seismic signals: Challenges and perspectives es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.subject.ocde Volcanes es_ES
dc.subject.ocde Prevención de desastres es_ES
dc.subject.ocde Instrumentos de medición es_ES
dc.subject.ocde Procesamiento de datos es_ES
dc.subject.ocde Teledetección es_ES
dc.subject.ocde Estudios geológicos es_ES
dc.identifier.journal IEEE Signal Processing Magazine es_ES
dc.description.peer-review Por pares es_ES
dc.identifier.doi 10.1109/MSP.2017.2779166 es_ES

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