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Multiscale Average Absolute Difference (MSAAD): A Computationally Efficient and Nonparametric Adaptation of Line Length for Noisy, Uncontrolled Wearables Time Series.

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Title: Multiscale Average Absolute Difference (MSAAD): A Computationally Efficient and Nonparametric Adaptation of Line Length for Noisy, Uncontrolled Wearables Time Series.
Authors: Burks, Jamison H.1 (AUTHOR) jburks@ucsd.edu, Hartogensis, Wendy2 (AUTHOR), Dilchert, Stephan3 (AUTHOR), Mason, Ashley E.2,4 (AUTHOR), Smarr, Benjamin L.1,4 (AUTHOR)
Source: Algorithms. Sep2025, Vol. 18 Issue 9, p577. 18p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. Sep2025, Vol. 18 Issue 9, p577. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188282555
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