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Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing.

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Title: Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing.
Authors: Herzog, T.1,2, s3826323@student.rmit.edu.au, Brandt, M.1, Trinchi, A.2, Sola, A.2, Molotnikov, A.1, andrey.molotnikov@rmit.edu.au
Source: Journal of Intelligent Manufacturing; Apr2024, Vol. 35 Issue 4, p1407-1437, 31p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Herzog%2C+T%2E%22">Herzog, T.</searchLink><relatesTo>1,2</relatesTo>, <i>s3826323@student.rmit.edu.au</i><br /><searchLink fieldCode="AU" term="%22Brandt%2C+M%2E%22">Brandt, M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Trinchi%2C+A%2E%22">Trinchi, A.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Sola%2C+A%2E%22">Sola, A.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Molotnikov%2C+A%2E%22">Molotnikov, A.</searchLink><relatesTo>1</relatesTo>, <i>andrey.molotnikov@rmit.edu.au</i>
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        Text: English
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              Text: Apr2024
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