Normalize Data #11

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opened 2024-08-24 17:45:47 +00:00 by nuluh · 0 comments
nuluh commented 2024-08-24 17:45:47 +00:00 (Migrated from github.com)

Description

The data from both sensors need to be normalized before further processing. This ensures consistency and comparability between the sensor readings.

Tasks

Acceptance Criteria

  • Data from both sensors is successfully normalized.
  • Normalized data meets the specified requirements and is consistent across all test cases.
  • The code includes comments or documentation referencing the related paper.

Additional Notes

Ensure that normalization methods are well-documented and reproducible.

## Description The data from both sensors need to be normalized before further processing. This ensures consistency and comparability between the sensor readings. ## Tasks - Implement normalization procedures for the sensor data. - Verify that normalization is applied to all data points. - Test the normalization process with sample data to ensure correctness. - Reference [A Practical Guide to Support Vector Classication (Hsu et al., 2008)](https://www.semanticscholar.org/paper/A-Practical-Guide-to-Support-Vector-Classication-Hsu-Chang/7abeda3a20c13bfee416d94efa313ff870656fec?sort=total-citations) as suggested. ## Acceptance Criteria - Data from both sensors is successfully normalized. - Normalized data meets the specified requirements and is consistent across all test cases. - The code includes comments or documentation referencing the related paper. ## Additional Notes Ensure that normalization methods are well-documented and reproducible.
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Reference: nuluh/thesis#11