Alamri et al., 2022 - Google Patents
Predicting the porosity in selective laser melting parts using hybrid regression convolutional neural networkAlamri et al., 2022
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- 13976850527634803601
- Author
- Alamri N
- Packianather M
- Bigot S
- Publication year
- Publication venue
- Applied Sciences
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Snippet
Assessing the porosity in Selective Laser Melting (SLM) parts is a challenging issue, and the drawback of using the existing gray value analysis method to assess the porosity is the difficulty and subjectivity in selecting a uniform grayscale threshold to convert a single slice …
- 230000001537 neural 0 title abstract description 30
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- G06Q10/00—Administration; Management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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- G06F—ELECTRICAL DIGITAL DATA PROCESSING
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
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