Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/78341| Title: | A new method for combining multiple classifiers applied to automated optical inspection |
| Authors: | Sciberras, Armand (2014) |
| Keywords: | Production management Quality control -- Standards |
| Issue Date: | 2014 |
| Citation: | Sciberras, A. (2014). A new method for combining multiple classifiers applied to automated optical inspection (Master's dissertation). |
| Abstract: | As competition and demand in manufacturing increases, faster and more efficient production lines are an increasing necessity. Across all manufacturing industries, quality assurance plays a vital role in assuring the high quality of the produced goods. Traditionally quality inspection is performed by human inspectors who either inspect each and every product individually or inspect samples from the whole batch to access a batch quality. |
| Description: | M.SC.COMP.SCI.&ARTIFICIAL INTELLIGENCE |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/78341 |
| Appears in Collections: | Dissertations - FacICT - 2014 Dissertations - FacICTAI - 2002-2014 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| M.SC.COMP.SCI._ARTIFICIAL INTELLIGENCE_Sciberras_Armand_2014.pdf Restricted Access | 39.09 MB | Adobe PDF | View/Open Request a copy |
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