University of Twente Student Theses
Feature extraction and selection on sparse, complex, sensor-based exhaled-breath data sets
Tintelen, B.F.M. van (2022) Feature extraction and selection on sparse, complex, sensor-based exhaled-breath data sets.
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Full Text Status: | Access to this publication is restricted |
Embargo date: | 31 August 2024 |
Item Type: | Essay (Master) |
Clients: | The eNose Company, Zutphen, Netherlands |
Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
Subject: | 54 computer science |
Programme: | Computer Science MSc (60300) |
Link to this item: | https://purl.utwente.nl/essays/92849 |
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