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Filtering by: Keyword Anomaly Detection Subject Industrial engineering

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Description:: This dissertation develops a new framework and algorithms for statistical process control of stochastic textured surface data that have no distinct features other than stochastic characteristics that vary randomly (e.g., image data of textiles or material microstructures and surface metrology data of metal parts). All methods are general and nonparametric...
Keyword:: Industrial Statistics, Anomaly Detection, Defect Detection, Supervised Learning, Quality Engineering, and Image Dissimilarity
Subject:: Industrial engineering
Creator:: Bui, Anh Tuan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_680004 and http://dissertations.umi.com/northwestern:14772

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