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        <datestamp>2026-09-28T09:26:06Z</datestamp>
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          <dc:title>Kinematic Signatures of Impairment: Detecting Alcohol Intoxication in E-Scooter Riders Using Sensor Data and Machine Learning</dc:title>
          <dc:creator>Rahul Rajendra Pai (24149569)</dc:creator>
          <dc:creator>Marco Dozza (4434016)</dc:creator>
          <dc:creator>Alexander Rasch (6862037)</dc:creator>
          <dc:creator>Ali Mohammadi (25121427)</dc:creator>
          <dc:creator>Marco Capuccini (24149563)</dc:creator>
          <dc:subject>Machine learning not elsewhere classified</dc:subject>
          <dc:subject>e-scooter anomaly detection</dc:subject>
          <dc:subject>drunk riding identification</dc:subject>
          <dc:subject>permutation entropy</dc:subject>
          <dc:subject>vehicle kinematics</dc:subject>
          <dc:subject>rider behavioural analysis</dc:subject>
          <dc:subject>micromobility safety</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Code and data to reproduce the results from "Kinematic Signatures of Impairment: Detecting Alcohol Intoxication in E-Scooter Riders Using Sensor Data and Machine Learning"&lt;/p&gt;</dc:description>
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