Original paper
STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI
Abstract
Seismology is a data rich and data-driven science. Application of machine learning for gaining new insights from seismic data is a rapidly evolving sub-field of seismology. The availability of a large amount of seismic data and computational resources, together with the development of advanced techniques can foster more robust models and algorithms to process and analyze seismic signals. Known examples or labeled data sets, are the essential...
Paper Details
Title
STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
179464 - 179476