Sure, here is the content you requested:
[1]: (Pdf) Machine Learning for Seismic Data Analysis and Processing … Machine learning is setting the pace in the advancement of data analysis in many fields of science, technology, and industry. in this context, seismic data processing and inversion are approached …
URL: https://www.researchgate.net/publication/362895044MACHINELEARNINGFORSEISMICDATAANALYSISANDPROCESSING–GEOACTAVOLESPECIAL_43-2-2018
[2]: Machine Learning in Seismology: Turning Data into Insights Five research areas in seismology are surveyed in which ML classification, regression, clustering algorithms show promise: earthquake detection and phase picking, earthquake early warning (EEW), ground‐motion prediction, seismic tomography, and earthquake geodesy.
URL: https://pubs.geoscienceworld.org/ssa/srl/article-abstract/90/1/3/566430/machine-Learning-in-Seismology-Turning-Data-into
[3]: Machine Learning Applications in Seismology – MDPI Recent progress in seismic data acquisition and processing, notably through the application of machine learning techniques, has proven beneficial for seismologists in identifying signals or patterns that customary methodologies may overlook [8,14]. As a notable example, the automatic detection of seismic events via models such as PhaseNet [] streamlines the processing of seismic data[16,17,18 …
URL: https://www.mdpi.com/2076-3417/14/17/78…ject builds on previous work led by Dr Gareth O’Brien.
Does this meet your needs?