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-====== Tutorials related to our science cases ======+====== ML pipeline: Automated detection and classification of ICMEs ======
  
-===== ML pipeline: Automated detection and classification of ICMEs ===== +We have a [[https://github.com/epn-ml/Tutorial_IWF-ICMEs|tutorial about the ML pipeline]] developed for our [[:science_cases:iwf_science_case|IWF ICME science case]] on our [[https://github.com/epn-ml|GitHub account]].
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-We have a [[https://github.com/epn-ml/Tutorial_IWF-ICMEs|tutorial about the ML pipeline]] developed for our [[:science_cases:iwf_science_case|IWF ICME science case]] on our [[https://github.com/epn-ml|GitHub account]]:+
  
 In the tutorial, we will introduce an ML pipeline for the automated detection of interplanetary coronal mass ejections (ICMEs) in solar wind time series data. We will guide the reader through the developed ML code with the help of a sample data set of solar wind time series data from different spacecraft (WIND, STEREO-A and STEREO-B). In the tutorial, we will introduce an ML pipeline for the automated detection of interplanetary coronal mass ejections (ICMEs) in solar wind time series data. We will guide the reader through the developed ML code with the help of a sample data set of solar wind time series data from different spacecraft (WIND, STEREO-A and STEREO-B).
tutorials.1650523296.txt.gz · Last modified: 2022/04/21 08:41 by admin