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Applying Autonomous Methods for Signal Analysis and Correction with Applications in the ship Industry
Mälardalen University, School of Education, Culture and Communication.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 40 credits / 60 HE creditsStudent thesis
Abstract [en]

The manufacturing and transportation industries generate a large amount of data sets which are often of inconsistent quality. The goal of this project is to find the mathematical principles of a system which learns automatically the essential statistical and analytical properties of datasets in order to detect and correct certain classes of faults in real time.

Place, publisher, year, edition, pages
2018. , p. 56
National Category
Computational Mathematics Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-39629OAI: oai:DiVA.org:mdh-39629DiVA, id: diva2:1214553
External cooperation
QTAGG R&D AB
Subject / course
Mathematics/Applied Mathematics
Presentation
2018-06-01, U3-083 (Hilbert room at UKK), 12:30 (English)
Supervisors
Examiners
Available from: 2018-06-14 Created: 2018-06-07 Last updated: 2018-06-14Bibliographically approved

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Type fulltextMimetype application/pdf

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School of Education, Culture and Communication
Computational MathematicsEngineering and Technology

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
  • en-GB
  • en-US
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  • Other locale
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Output format
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