Comparative Study on Seismic Precursors Detected from Swarm, CSES and CSELF by Deep Machine Learning- based Approaches

Y Bi; Xueming Zhang; Jianbao Sun; M Huang; Cecile Lasserre

Comparative Study on Seismic Precursors Detected from Swarm, CSES and CSELF by Deep Machine Learning- based Approaches

Y Bi, Xueming Zhang, Jianbao Sun, M Huang, Cecile Lasserre

Research output: Contribution to conference › Abstract › peer-review

Abstract

The project aims to develop and apply innovative data analytic methods underpinned with machine (deep) learning technology to analyze and detect seismic anomalies from electromagnetic data observed by the SWARM and CSES satellites along with CSELF network.

Original language	English
Number of pages	2
Publication status	Published (in print/issue) - 23 Jul 2021
Event	The ESA-NRSCC Dragon 2021 Symposium - , Italy Duration: 19 Jul 2021 → 23 Jul 2021 https://dragon-symp2021.esa.int/

Conference

Conference	The ESA-NRSCC Dragon 2021 Symposium
Country/Territory	Italy
Period	19/07/21 → 23/07/21
Internet address	https://dragon-symp2021.esa.int/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@conference{d80ea1d5b157494bbd27c7ae98b7ed21,

title = "Comparative Study on Seismic Precursors Detected from Swarm, CSES and CSELF by Deep Machine Learning- based Approaches",

abstract = "The project aims to develop and apply innovative data analytic methods underpinned with machine (deep) learning technology to analyze and detect seismic anomalies from electromagnetic data observed by the SWARM and CSES satellites along with CSELF network.",

author = "Y Bi and Xueming Zhang and Jianbao Sun and M Huang and Cecile Lasserre",

year = "2021",

month = jul,

day = "23",

language = "English",

note = "The ESA-NRSCC Dragon 2021 Symposium ; Conference date: 19-07-2021 Through 23-07-2021",

url = "https://dragon-symp2021.esa.int/",

}

TY - CONF

T1 - Comparative Study on Seismic Precursors Detected from Swarm, CSES and CSELF by Deep Machine Learning- based Approaches

AU - Bi, Y

AU - Zhang, Xueming

AU - Sun, Jianbao

AU - Huang, M

AU - Lasserre, Cecile

PY - 2021/7/23

Y1 - 2021/7/23

N2 - The project aims to develop and apply innovative data analytic methods underpinned with machine (deep) learning technology to analyze and detect seismic anomalies from electromagnetic data observed by the SWARM and CSES satellites along with CSELF network.

AB - The project aims to develop and apply innovative data analytic methods underpinned with machine (deep) learning technology to analyze and detect seismic anomalies from electromagnetic data observed by the SWARM and CSES satellites along with CSELF network.

UR - https://dragon-symp2021.esa.int/#abstract

M3 - Abstract

T2 - The ESA-NRSCC Dragon 2021 Symposium

Y2 - 19 July 2021 through 23 July 2021

ER -

Comparative Study on Seismic Precursors Detected from Swarm, CSES and CSELF by Deep Machine Learning- based Approaches

Abstract

Conference

UN SDGs

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