DataCite Search

6 Works

COMSOL modeling.mph

Jiading Tian, Zehui Wang, Qirong Xiao, Dan Li, Ping Yan & Mali Gong

Software published via Optica Publishing Group

COMSOL model for the initiation of fiber fuse

No citations were reported. No usage information was reported.

https://doi.org/10.6084/m9.figshare.20514708.v1 Cite

EFARN code

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu & Ge Chen

Software published via figshare

This program is eddy-front association recognition network (EFARN) proposed by Global Oceanic Eddy-Front Associations from Synergetic Remote Sensing Data by Deep Learning paper, the program can get the eddy-front association results from sea surface temperature (SST) and sea level anomaly (SLA) data.

No citations were reported. No usage information was reported.

https://doi.org/10.6084/m9.figshare.21707447.v1 Cite

COMSOL modeling.mph

Jiading Tian, Zehui Wang, Qirong Xiao, Dan Li, Ping Yan & Mali Gong

Software published via Optica Publishing Group

COMSOL model for the initiation of fiber fuse

1 citation

No usage information was reported.

https://doi.org/10.6084/m9.figshare.20514708 Cite

EFARN code

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu & Ge Chen

Software published via figshare

This program is eddy-front association recognition network (EFARN) proposed by Global Oceanic Eddy-Front Associations from Synergetic Remote Sensing Data by Deep Learning paper, the program can get the eddy-front association results from sea surface temperature (SST) and sea level anomaly (SLA) data.

No citations were reported. No usage information was reported.

https://doi.org/10.6084/m9.figshare.21707447 Cite

EFARN code

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu & Ge Chen

Software published via figshare

This program is eddy-front association recognition network (EFARN) proposed by Global Oceanic Eddy-Front Associations from Synergetic Remote Sensing Data by Deep Learning paper, the program can get the eddy-front association results from sea surface temperature (SST) and sea level anomaly (SLA) data.

No citations were reported. No usage information was reported.

https://doi.org/10.6084/m9.figshare.21707447.v3 Cite

EFARN code

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu & Ge Chen

Software published via figshare

This program is eddy-front association recognition network (EFARN) proposed by Global Oceanic Eddy-Front Associations from Synergetic Remote Sensing Data by Deep Learning paper, the program can get the eddy-front association results from sea surface temperature (SST) and sea level anomaly (SLA) data.

No citations were reported. No usage information was reported.

https://doi.org/10.6084/m9.figshare.21707447.v2 Cite