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ZENODO
Software . 2024
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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rungk-om/DailyGeomBaseline-LSTM-NN: updated version for the input features of the neural network

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Dec 2024Publisher:Zenodo
Authors: Rungployphan Om Kieokaew;
Code repository: https://github.com/rungk-om/DailyGeomBaseline-LSTM-NN/tree/v.0.1.1

doi: 10.5281/zenodo.13881559 , 10.5281/zenodo.14534688

rungk-om/DailyGeomBaseline-LSTM-NN: updated version for the input features of the neural network

Abstract

This version of the Jupyter notebooks uses the sine and cosine functions of the local time (LT) instead of LT as inputs of the neural network. This speeds up the neural network training.

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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