Title
Machine Learning for Volcano-Seismic Signals: Challenges and Perspectives.
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 o...
Year
DOI
Venue
2018
10.1109/MSP.2017.2779166
IEEE Signal Processing Magazine
Keywords
Field
DocType
Volcanoes,Feature extraction,Environmental factors,Transient analysis,Geospatial analysis,Signal processing algorithms,Task analysis,Seismic measurements
Geospatial analysis,Data science,Computer vision,Task analysis,Computer science,Volcanic hazards,LEAPS,Artificial intelligence,Unrest,Big data,Environmental monitoring,Natural hazard
Journal
Volume
Issue
ISSN
35
2
1053-5888
Citations 
PageRank 
References 
2
0.49
0
Authors
6
Name
Order
Citations
PageRank
Marielle Malfante120.83
Mauro Dalla Mura287556.48
Jean-Philippe Metaxian321.17
Jérôme I. Mars47811.17
Orlando Macedo520.83
L. Adolfo Inza620.83