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http://hdl.handle.net/2445/180406| Title: | Processing of Magnetotelluric Data Using Machine Learning Techniques |
| Author: | Nocelo Sampedro, Paula |
| Director/Tutor: | Marcuello Pascual, Alejandro |
| Keywords: | Prospecció magnetotel·lúrica Aprenentatge automàtic Treballs de fi de grau Magnetotelluric prospecting Machine learning Bachelor's theses |
| Issue Date: | Feb-2021 |
| Abstract: | This report is based on magnetotelluric (MT) data from the electromagnetic (EM) Earth field. The main objective is to analyze, reduce, and asses EM noise, coming from man-made technologies. To evaluate how to denoise MT data, a code is developed in Python, which uses the K-Means technique from machine learning. In the end, it is obtained a preliminary method to identify noise situations. |
| Note: | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Alejandro Marcuello Pascual |
| URI: | http://hdl.handle.net/2445/180406 |
| Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NOCELO SAMPEDRO PAULA_3085507_assignsubmission_file_TFG-Nocelo-Sampedro-Paula.pdf | 546.47 kB | Adobe PDF | View/Open |
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