首页|National University Colombia Researcher Yields New Study Findings on Machine Lea rning (Colombian Seismic Monitoring Using Advanced Machine-Learning Algorithms)
National University Colombia Researcher Yields New Study Findings on Machine Lea rning (Colombian Seismic Monitoring Using Advanced Machine-Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Colombia, United Stat es, by NewsRx correspondents, research stated, “Seismic networks worldwide are d esigned to monitor seismic ground motion.” Our news editors obtained a quote from the research from National University Col ombia: “This process includes identifying seismic events in the signals, picking and associating seismic phases, determining the event’s location, and calculati ng its magnitude. Although machine-learning (ML) methods have shown significant improvements in some of these steps individually, there are other stages in whic h traditional non- ML algorithms outperform ML approaches. We introduce SeisMonit or, a Python open-source package to monitor seismic activity that uses ready-mad e ML methods for event detection, phase picking and association, and other well- known methods for the rest of the steps. We apply these steps in a totally autom ated process for almost 7 yr (2016-2022) in three seismic networks located in Co lombian territory, the Colombian seismic network and two local and temporary net works in northern South America: the Middle Magdalena Valley and the Caribbean-M erida Andes seismic arrays. The results demonstrate the reliability of this meth od in creating automated seismic catalogs, showcasing earthquake detection capab ilities and location accuracy similar to standard catalogs.”
National University ColombiaColombiaUnited StatesNorth and Central AmericaAlgorithmsCyborgsEmerging Technolo giesMachine Learning
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