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ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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MFF-DenseNet/Densely Connected Convolutional Network with Multi-scale Feature Fusion for Magnetotelluric Noise Suppression

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Jun 2024Publisher:Zenodo
Authors: Wang, Jiayu; Li, Jin;

doi: 10.5281/zenodo.11468773 , 10.5281/zenodo.11580406

MFF-DenseNet/Densely Connected Convolutional Network with Multi-scale Feature Fusion for Magnetotelluric Noise Suppression

Abstract

This project is designed for manuscript "MFF-DenseNet: Densely Connected Convolutional Network with Multi-scale Feature Fusion for Magnetotelluric Noise Suppression" submission to JGR-Solid Earth, providing a set of tools for the processing and analysis of magnetotelluric data. The toolset includes functionalities for data preprocessing, analysis, and visualization, helping researchers efficiently separate signal and noise from MT noisy data.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average