Browsing by Subject "convolutional neural networks"
Now showing items 1-3 of 3
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Machine learning applications for geoscience problems
(2019-12)Geoscientists have used machine learning for at least three decades and the applications spam many fields, from seismic processing and interpretation, to remote sensing classification, to analysis of well log data, among ... -
Petrographic analysis with deep convolutional neural networks
(2019-12)Petrographic analysis is based on the microscopic description and classification of rocks and is a crucial technique for sedimentary and diagenetic studies. When compared to hand specimens, thin sections of rocks provide ... -
Robust Velocity Dealiasing for Weather Radar Based on Convolutional Neural Networks
(2023-05-12)Doppler weather radar is an essential tool for monitoring and warning of hazardous weather phenomena. In weather radar, achieving a longer aliasing range (ra) is crucial for surveillance, and a higher aliasing velocity ...