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.

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.

MATLAB codes for the figures in the paper "Partition of estimated locations: approach to accurate quality metrics for stochastic optical localization nanoscopy"

The data and code of the paper titled "A prototype-based sampling method for spatial data sampling and its application in landslide susceptibility mapping".

MATLAB codes for the figures in the paper "Partition of estimated locations: approach to accurate quality metrics for stochastic optical localization nanoscopy"

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.

This script may be used to generate the profile of a near best-form Optimized Spline Concentrator (OSC) for any acceptance angle between 10 and 45 degrees, following the designs optimized using the tangent-normal perturbation approach.

This script may be used to generate the profile of a near best-form Optimized Spline Concentrator (OSC) for any acceptance angle between 10 and 45 degrees, following the designs optimized using the tangent-normal perturbation approach.