science_cases:lmsu_science_case
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science_cases:lmsu_science_case [2022/09/12 11:50] – admin | science_cases:lmsu_science_case [2022/09/12 13:44] (current) – admin | ||
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|4|Magnetosphere|14.1| | |4|Magnetosphere|14.1| | ||
- | The boundaries of critical interest - bow shock and magnetopause - are minorities with only 3.7 and 2.3 % representation. The table highlights the **data imbalance issue** that requires investigating special techniques to ensure the predictor does not bias towards the overrepresented classes. | + | The boundaries of critical interest - bow shock and magnetopause - are minorities with only 3.7 and 2.3 % representation. The table highlights the **[[: |
As a first step in pre-processing, | As a first step in pre-processing, | ||
- | In the feature preparation stage, a sliding window of variable sizes (3 seconds to 3 minutes) with a hop size of 1 second was computed on the time series signal to obtain feature vectors. Finally, the features were normalised to have mean of 0 and a standard deviation of 1. No other pre-processing or [[: | + | In the feature preparation stage, a sliding window of variable sizes (3 seconds to 3 minutes) with a hop size of 1 second was computed on the time series signal to obtain |
- | The windowed features are fed first into a block of 3 Convolutional | + | The windowed features are fed first into a block of 3 [[: |
The window size used in these experiments is 30 seconds. Overall, the [[: | The window size used in these experiments is 30 seconds. Overall, the [[: | ||
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- | The results from the [[: | ||
Results of this science case were presented at the {{: | Results of this science case were presented at the {{: |
science_cases/lmsu_science_case.1662976209.txt.gz · Last modified: 2022/09/12 11:50 by admin