Data for: LSTM Based Encoder-Decoder for Short-Term Predictions of Gas Concentration using Multi-Sensor Fusion

Published: 24 Feb 2020 | Version 1 | DOI: 10.17632/889jhhhpky.1
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Description of this data

This dataset contains four sensor information of a coal mine working face in China (from 2017-10-30 to 2017-11-18 ). And the sampling interval is 2 minutes.

Experiment data files

This data is associated with the following publication:

LSTM based encoder-decoder for short-term predictions of gas concentration using multi-sensor fusion

Published in: Process Safety and Environmental Protection

Latest version

  • Version 1

    2020-02-24

    Published: 2020-02-24

    DOI: 10.17632/889jhhhpky.1

    Cite this dataset

    Mao, Shanjun; Chen, Ning; Li, Mei; Lyu, Pingyang (2020), “Data for: LSTM Based Encoder-Decoder for Short-Term Predictions of Gas Concentration using Multi-Sensor Fusion”, Mendeley Data, v1 http://dx.doi.org/10.17632/889jhhhpky.1

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Safety, Mining

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CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

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You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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