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Jul 19, 2021 - Ricci Curvature Analysis
Python Source Code - 2.3 KB - MD5: c51dcc51817d662fb7d5f8e69a22317f
Jul 19, 2021 - Ricci Curvature Analysis
Python Source Code - 2.3 KB - MD5: da51e15e44b946bc8520b25e937f53ee
Jul 19, 2021 - Ricci Curvature Analysis
Python Source Code - 2.3 KB - MD5: e176b938465ea97d5746bbe196d419b0
Jul 19, 2021 - Ricci Curvature Analysis
Python Source Code - 2.3 KB - MD5: eca0528ea37a5bd98594f135e4fa37bd
Jul 19, 2021 - Ricci Curvature Analysis
Python Source Code - 2.2 KB - MD5: 13c9ce84bb4bab054b8ef72d9405ae3a
From MST to PMFG to TDA and Ricci Curvature Analysis(Nanyang Technological University)
Jul 19, 2021
MATLAB and Python scripts for manuscript "From MST to PMFG to TDA and Ricci Curvature Analysis" submitted to MDPI Entropy special issue
Jun 1, 2021
Cheong, Siew Ann, 2021, "Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan", https://doi.org/10.21979/N9/JSUTCD, DR-NTU (Data), V1
(C, V, S, K) index time series data generated using 0.5-Hz GEMS time series data from Taiwan. In this data set, C is a modified autocorrelation function, V is the variance, S the skewness, and K the kurtosis of the GEMS geo-electric field time series.
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