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Identifying Long-Memory Trends in Pre-Seismic MHz Disturbances through Support Vector Machines
In this paper, a novel algorithm is introduced for the analysis of long-memory patterns hidden in electromagnetic (EM) readings prior to earthquakes. The algorithm builds upon previous work on long-memory detection in EM measurements by fusing Support Vector Machine (SVM) classifiers with well-deployed power law fit tests and Rescaled-Range (R/S) t... Read More»
Cantzos D, Nikolopoulos D, Petraki E, Nomicos C, Yannakopoulos PH and Kottou S
Research Article: J Earth Sci Clim Change 2015, 6: 263
DOI:
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Nikolopoulos Dimitrios, Matsoukas Christos, Yannakopoulos H Panayiotis, Petraki Ermioni, Cantzos Demetrios and Nomicos Constantinos
Research Article: J Earth Sci Clim Change
DOI:
Fractal Analysis of Pre-Seismic Electromagnetic and Radon Precursors: A Systematic Approach
Nikolopoulos D, Petraki E, Cantzos D, Yannakopoulos P, Panagiotaras D, Nomicos D
Research Article: J Earth Sci Clim Change 2016, 7: 376
DOI:
Radon-222: A Potential Short-Term Earthquake Precursor
Petraki E, Nikolopoulos D, Panagiotaras D, Cantzos D, Yannakopoulos P, Nomicos C and Stonham J
Research Article: J Earth Sci Clim Change 2015, 6: 282
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Electromagnetic Pre-earthquake Precursors: Mechanisms, Data and Models-A Review
Petraki E, Nikolopoulos D, Nomicos C, Stonham J, Cantzos D, Yannakopoulos P and Kottou S
Review Article: J Earth Sci Clim Change 2015,6:250
DOI:
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