… both Montagne Pelée VTs and tectonic earthquakes were recorded by Martinique observatory
networks. Most of the tectonic earthquakes identified by Martinique observatory were also …

… earthquake detecting sensor. To that end, in this article, we leverage a machine learning
technique with earthquake … propose the most appropriate machine learning model and features …

… Despite this progress, the full potential of ML for improving earthquake monitoring has not
yet been realized. AI phase associators, event locators, magnitude estimators, etc., could …

… of potential applications from routine earthquake monitoring to early warning systems. …
This has a variety of potential applications from routine earthquake monitoring to early warning …

… V, Results and discussion in Section VI, conclusion and future work in Section VII, and
finally the references in machine learning and earthquake fields that is helpful in this work. …

… framework to run machine learning pipelines on … machine learning algorithms for earthquake
detection with cloud computing for parallel processing, to build an earthquake monitoring …

… seismic netY work (CI), and earthquake learning based on reduced seismic data and MAS
… agent process platform JAM is used that provides Machine Learning (ML) as a service. JAM …

… However, successful application of machine learning … various machine learning based
approaches to earthquake prediction … earthquake scientists and beginner researchers in this field. …

… Note that the literature in this topic area is selected to be strictly constrained by the keywords
of “machine learning” and “earthquake engineering.” Resultantly, many other studies (eg …

… After that, they created an earthquake alarm system. They used a straightforward machine
learning approach to identify earthquakes that train an earthquake detection model using …