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http://hdl.handle.net/2445/180406
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DC Field | Value | Language |
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dc.contributor.advisor | Marcuello Pascual, Alejandro | - |
dc.contributor.author | Nocelo Sampedro, Paula | - |
dc.date.accessioned | 2021-10-05T15:24:45Z | - |
dc.date.available | 2021-10-05T15:24:45Z | - |
dc.date.issued | 2021-02 | - |
dc.identifier.uri | http://hdl.handle.net/2445/180406 | - |
dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Alejandro Marcuello Pascual | ca |
dc.description.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. | ca |
dc.format.extent | 5 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) Nocelo, 2021 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Física | - |
dc.subject.classification | Prospecció magnetotel·lúrica | cat |
dc.subject.classification | Aprenentatge automàtic | cat |
dc.subject.classification | Treballs de fi de grau | cat |
dc.subject.other | Magnetotelluric prospecting | eng |
dc.subject.other | Machine learning | eng |
dc.subject.other | Bachelor's theses | eng |
dc.title | Processing of Magnetotelluric Data Using Machine Learning Techniques | eng |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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NOCELO SAMPEDRO PAULA_3085507_assignsubmission_file_TFG-Nocelo-Sampedro-Paula.pdf | 546.47 kB | Adobe PDF | View/Open |
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